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Good morning, Thomas.

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It's great to have you

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on the podcast today.

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Hi.

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Yeah.

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If memory serves, I think we first met

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back at the Health

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Optimization Summit in around 2023.

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I think you were there

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with Omnossa at the time.

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Anyway, it's been a minute and here we

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are in 2025 to talk about

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your latest venture, VTX.

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Before we dive into that particular

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conversation though, would you mind just

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introducing yourself

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to the audience for us?

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I know you have a fascinating history

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when it comes to science, to health, to

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exercise physiology, and I think it would

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be great to get that background again.

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Yeah, sure.

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Quick background, I will try

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to keep the story very short.

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But I like to say that

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I'm a failed athlete.

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When I was 16, I was a

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French champion of swimming,

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believe it or not.

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This is where it all started for me

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because I was training very intensively

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as you would do every day, every single

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day for two hours, holidays for me as a

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young 16 years old was twice a

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day in the pool for two hours.

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Everything was fine until

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I started to change pool.

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Went for the local Olympic

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pool, like change the club.

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One thing has changed there, which was

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the proximity of a bakery.

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The result of this is obviously when

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you're a 16 years old male,

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growing very fast, or when you're like

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busting testosterone, training like

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crazy, you just eat all the time.

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I remember going out of the training

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sessions and just I had my, in my

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backpack, the

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literally kilo pot of Nutella.

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I was passing by this bakery

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and I had this old baguette.

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I was opening, I had a knife as well,

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like old school opening the whole thing,

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putting half of it and just eating this

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on the way back home.

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That was just literally two

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hours maybe before dinner.

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I was still ready for dinner.

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Fifteen hundred calories.

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The amount of calories I

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was burning was just crazy.

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You have to replenish, but obviously I

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learned very quickly the hard way, but I

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was replenished the wrong way.

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And I've learned this by literally

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crashing the day after I was in school,

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falling asleep and going to see the

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doctors and like, "Oh,

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you're all the training."

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I was like, "Whoa, what was the case?"

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And I didn't change my training regimen.

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I just changed the pool.

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I wasn't changing anything.

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So anyway, this is where I started to

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look into what could

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be the real issue here.

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And I was interested in nutrition and I

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fell into probably one of the

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first men's health at the time.

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And we're talking

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about early 2000s, right?

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And it was about nutrition for athletes.

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And I was shocked, but actually eating

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eggs and salmon in the

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morning was a good idea.

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And my cereal's box that was saying

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athletes was actually rubbish, right?

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And maybe the old baguette with half a

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pot of Nutella was

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not a good idea either.

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And when I changed this really quickly,

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things changed for me.

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And I got fascinated by nutrition and

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really trying to optimize

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my performance, my health.

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You know, so yeah, it opens a lot of new

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avenue for me to explore.

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And I felt it fascinating, especially

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since then, genetically speaking, I

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wasn't going to be the top swimmer

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because I'm not two meters.

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I'm 180 and actually

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it's short for a swimmer.

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And yeah, past 17, I was out, right?

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When everybody started growing and

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reached those size, I was just very,

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very, those height, I was

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just out for the competition.

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So I decided to stop and as a fair

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athlete went into sport science.

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Yeah, sure.

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Well, I'm far back.

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So you're doing pretty well by my steps.

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Yeah, anyway, so cutting

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down, so we're short from there.

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I, as I said, sport science, then arrived

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in London and started coaching.

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And I'm obviously going to go on step

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here, but coaching athletes.

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And what I really enjoy doing was trying

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to get as personalized as possible before

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personalized personalization was a thing.

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And again, looking at what was available,

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I fell into some research

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paper about nutrigenomics.

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And at the time it

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was in South Africa lab

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that we're looking at certain genes, like

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the famous old ones like FTO, you know,

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which basically

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taught me that, wow, we can actually have

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a very personalized approach to caution

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and to potentially educating someone

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about their own genetic

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to be able then to, you know, have a

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tailored plan for

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performance, recovery, training.

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So it was all very exciting.

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Was that Tim Noakes's lab by any chance?

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DNA analysis, it was at the time.

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Oh, yes.

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I remember that company.

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Accuray Accuray up in South Africa.

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Exactly.

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And I bothered them a lot because I was a

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coach at the time and, you know, I had no

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medical background and I was like

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harassing them to learn and do a course,

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which we did.

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So the first course they made, and I

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think I was one of the first students,

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they became nutrigenomic certified

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and I started implementing this in London

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for all the athletes.

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And the test was still

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quite expensive at the time.

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Right.

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And we're looking at a few SNPs.

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So looking at maybe, you know, 20, 20

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SNPs maximum, probably even less.

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But then quickly start to try to improve

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all of this and also, especially in the

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recommendation aspect, not just the

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hardcore sort of gene and gene variation

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without explanation.

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So I was helping in putting this together

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and again, getting the whole story short,

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starting with first company.

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And I will make this very short because I

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decided to leave this company because,

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as you probably know, back in the day,

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DNA was the wild west.

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And when there's a

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wild west, there's cowboy.

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And there is definitely a lot of actors,

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let's say, that wanted to sell a product

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without really a continuity.

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And it worked for them, but

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it's not what I wanted to do.

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And so I exited all this

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and my vision was really to

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educate people on how to

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learn, explore their gene.

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So I sort of stepped back and wrote a

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book which was cracking

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your health code in 2014.

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And it's about that.

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It's about an invitation to explore your

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genes and learn about

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your different variation.

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And what can you do about it?

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So really,

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nutrigenomic connection, right?

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So how can we adapt, change with many

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habits, your behavior

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based on your genetic?

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But also while doing this, realizing that

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it's definitely not the whole story.

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And this is where we created GenSmart,

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which was my first platform

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where we were uploading 23 enemy data.

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And at the time it was quite funny

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because I was just going

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towards 23 enemy accounts.

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Hashtag 23 enemy Instagrams, like, hey,

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you can upload your data to

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GenSmart and find out more.

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More than learning that you are the

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cousin of Marie Antoinette or whatever.

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And give you actually insight already in

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terms of what are your predisposition?

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What can you learn about it?

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And so, yeah, maybe your data

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classification pathways are not optimal.

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So what can you do as many goals and

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tasks to implement in your daily life to

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potentially help you do better?

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But again, GenSmart was amazing, I think,

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at the time because

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we're talking about 2016.

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It was one of the first.

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But then I really wanted to connect the

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dots with functional testing.

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So functional medicine approach with the

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hormone test, the

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microbiome, blood markers.

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To really try to have a whole picture

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here of your risk factors, the where you

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are now in your journey

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based on the biomarkers.

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And also

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understanding your context, right?

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So the symptoms.

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And this is what we have been doing with

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HONOS and first with Imperial College,

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trying to develop this

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interconnectivity between the dots.

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And again, because data and

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isolation are just points, right?

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But when you start connecting the dots

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together, you can see pattern, you can

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you can understand the story.

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And it makes a great difference.

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And this is where we created HONOS, which

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looks at things by order of priority and

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looked at the combination of genetic

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symptom assessment and

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all functional testing.

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And by doing so, we really

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saw an uptake of practitioner.

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But those two camps, those practitioners

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looking at this and saying, oh, well,

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it's you know, it's not good because it's

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fancy colors and everything.

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And then others that starting to

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understand that actually very subsistence

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to it and can use it as a tool to improve

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my practice, because I can reach a higher

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level of network information that I

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couldn't do on my own

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because I'm just a hormone expert.

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I'm not necessarily a microbiome expert.

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And I'm not so good at reading blood

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markers, for example.

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And definitely not trained as a

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nutritional practitioner.

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So this is what we have done.

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And we had within less than six months of

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maybe a thousand

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practitioners using our platform.

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And this is where we took a leap of faith

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to acquire Regeneris Labs,

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which is the UK

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leading company for testing.

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Right.

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So we managed forces and this is what

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created now a CRM that's really support

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practitioner to have an efficient

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practice because you can order a test.

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You can have all your

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patients in one place.

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The results.

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Everything is in one place.

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And that's what I'm very proud of.

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What we have achieved here is to create a

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very much seamless experience from

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different labs to the end user, which is

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the practitioner here for efficiency.

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Right.

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So, yeah, that's the whole journey.

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Yeah, no, no, it is.

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It's an amazing journey.

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And I can vouch for the

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Ominous platform personally.

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I think it's incredible.

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The fact that you can, as you said

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yourself, just bring in these different

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types of data from various different

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types of functional lab testing and then

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just be able to look at it as a whole.

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And just the algorithm at play that just

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makes it so accessible, not only to

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people who are practitioners, but also to

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people like myself who maybe got more of

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an academic background

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and this sort of stuff.

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But it just brings it all together.

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It really does.

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And it makes the data actionable.

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That's always my mission.

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Still is to make things accessible for

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everyone, but also effective to anyone.

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Right.

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In a sense of getting the

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insight for all those data.

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But what does it mean in terms of

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mechanism of process of turning this into

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real time action and adjustments for

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preventive prevention, for example?

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Yeah.

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And as you alluded to earlier, I think it

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really sort of supports physicians as

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well, because then they can sort of they

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can work through the biochemistry.

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They can work through the endocrinology.

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They can work through the the gut stuff

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and just it's all provided there and they

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get this feedback on a patient and they

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can ultimately provide

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better care as a result.

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And there's also the learning hub.

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Right.

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So if you are a practitioner, not

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necessarily within the platform, you have

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all those amazing practitioners.

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You have workshops, you have video

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training, you have

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courses you can you can do.

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So, yeah, it's a great platform.

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So very proud of that.

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No, I love the one that Dean St.

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Mark did a while ago on.

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He's done two or three now,

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but those were incredible.

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Anyway, Thomas, that's that's that's

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quite the story and it's quite the jump

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as well, sort of going from the sort of

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background and sort of sports science and

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I suppose exercise physiology all the way

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into the sort of tech startup world.

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Yeah,

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I think a great place to sort of continue

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this conversation would be actually let's

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backtrack slightly and

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talk about mutual genomics.

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And again, it's a passion of yours and

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evidently something you're

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well you're well learned in.

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Now, the way I understand it, it's basic,

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of course, it's a relationship between

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what we eat, our genes, and I suppose

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fundamentally our health.

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Of course, there's a

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lot more to it than that.

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But would you mind breaking down this

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concept for us and maybe how you some

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examples of how you

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utilize the it earlier on with.

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With the athletes that you were training,

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I think it would be quite interesting to

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delve into some of those that you answer.

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I think you you made it very clear and

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trying to make it a complex simple

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because the tradition

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makes me a bit complex.

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But for the audience here, which I'm sure

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is a very educated audience, but the

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traditional mix is really the interaction

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between the food, your

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lifestyle, your environment, right?

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And your gene and how they express.

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So the idea is you have a certain set of

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genes and your bio individuality, right?

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So my genotype will be different venues.

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And based on this, we obviously have

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different way of

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expressing those genotypes.

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And I'll give you examples based on the

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story from what I have, for example, the

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reason why I was crashing, for example,

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was an insulin sensitivity issue.

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Many years later, I tested for the genes,

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but I realized that all my insulin

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sensitivity genes

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were sort of high impact.

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Right.

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So the PPA-RG genes, for example, which

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has to do with insulin regulation.

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It regulates all the fat cell development

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and glucose metabolism and more really.

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But what I had this variance, right?

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I had my insulin resistance was

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definitely not there.

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So when I got this baguette and the

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Nutella, I'm down to crash.

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And the long term of doing this also

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could have been well, being an athlete

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was a bit different.

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But let's say if I was sedentary, that is

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high risk of type 2 diabetes.

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Right.

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So they've long term type 2 diabetes.

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I am a high risk of type 2 diabetes.

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And that's why in my lifestyle, I have

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implemented things

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like intermittent fasting.

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All the little tools that I can use to

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regulate my glucose

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are still very important.

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If I were again, still acting like a

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French ninja, not understanding

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nutrition, I would crash.

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Right.

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So it's very important for

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me to have protein when I eat.

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And if I don't fast, you

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know, break my fast with protein,

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it is almost things are very important.

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And there's many, many different genes

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and variation you can have.

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So the most known, for example, is maybe

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caffeine metabolism.

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Right.

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So this gene CYP-OMA2, which is your

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short, I mean, fast

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metabolism or slow metabolism.

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So that explains some people with just

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after one espresso,

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which is habitory, right.

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And over time, all the genes to do with

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again, I have all this sassy genes as

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well, where like MC4 are, I call it the

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Deft-Bufet syndrome.

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Because you put in front of me a Bufet

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and if I'm hungry and if I'm tired, I'm

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just wired to go and

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eat without stopping.

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Right.

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I don't have this switch off button.

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So all those things, these things that

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I've learned and have the habits, develop

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the habits to like mindful eating and

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making sure I have enough protein, making

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sure, you know, to switch off those genes

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to express a bit too much.

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Right.

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So and then you can go into

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health-related issue, cardiovascular

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detoxification pathways like GST-M1,

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which I think is a fine

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living in London, very toxic city,

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having all those detoxification pathways,

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you know, like phase one and

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phase two, not being optimal.

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I do need to support my detoxification

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pathways on an ongoing basis.

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I would fall asleep literally as soon as

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I arrive in the tube because it's so

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toxic with all different things.

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Right.

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So implementing, well, a lot of training,

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supporting my with certain supplements,

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but also doing things like making sure I

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eat food that is not, you know, full of

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pesticides, the clean 15 and all those

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different things and also making sure

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that I now and then have sonars.

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All of these are things

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that are very important for me.

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Yeah, that's fascinating.

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And it's interesting to see, just going

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back to the sporting analogy for a

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moment, how and I'm sure you still follow

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endurance sports to some extent, but just

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how this genetic data has almost

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driven the industry in terms of how

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athletes are feeling and eating.

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I remember I don't know if you follow

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cycling at all, but when Chris Froome,

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who won the Tour de France, I think three

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or four years in a row, was really

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performing well before he had a crash at

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the Crète d'Ephane.

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He was following a very

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high fat, low carb diet.

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And at the time it was

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assumed that that was optimal.

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And nowadays it's interesting that you

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see these same athletes and what they're

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now doing is running a very low quality.

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That is very nice actually with cyclists.

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The difference from a person to another

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can be amazing, especially in terms of

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recovery, performance.

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Let's say I'm a sprinter, right?

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I'm designed to be, I've got this

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ACTN-free fast-twitch metabolism.

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You make me swim a thousand kilometres,

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people take me far away, but a hundred

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metres was the best, right?

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Back in the days.

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It's just harm design, right?

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But also the recovery.

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So cyclists, for example,

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had a cyclist who had very slow recovery

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and was suffering

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from it, always in pain.

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And there's a gene called SOD2, which has

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to do with antioxidant.

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And obviously when you train that much,

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you create a lot of oxidative stress.

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And when we started juicing and getting

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as many as antioxidant for supplements

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and food, it was a game

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changer for this person.

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The recovery was much faster,

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the pain almost disappeared.

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And that's just because you are adapting

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to what you are designed for, right?

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So I think Nutriusion Mixer definitely

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has its value in not only for

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performance, but for health as well,

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which is what I'm focusing on now.

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Yeah, definitely.

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And I think the other sort of nugget of

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wisdom in there is that you can also

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utilise genetics and eugenomics to almost

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identify what you would

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do well in within a sport.

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Just going back to cycling, for example,

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as you alluded to earlier, if you are

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ACTN, if you're sort of version of the

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ACTN 3 gene, if you're an RR phenotype,

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you're obviously going to be far more

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effective at sprinting than

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you would say at climbing.

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So I think when you look at it through

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that lens too, it can really help you to

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sort of identify maybe where in your

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sport or you would expel or what sort of

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sport you would

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expel, not expel, as well.

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So there's a lot of gene, for example,

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like the O2 Max and all those things.

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That makes quite a difference, right?

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So if you are a Nutri

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marathon runner, for example,

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and if you do all those different genes

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to do with like performance,

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ultra long performance,

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they do make a big difference.

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However, one thing I would say here for

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all the listeners is if you're an

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athlete, yes, you want to look at that,

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but you also, even athletes actually will

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benefit from any disciplines and the

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variation as a whole is

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very important actually.

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And you will find that most top athletes,

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say Michael Jordan was also good at

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golfing, right, or other things, because

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baseball, right, it's a different set of

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skills that makes you

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an athlete, I would say.

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So it's not just down to genetics, but

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genetics definitely give you a

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predisposition to certain things.

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Yeah.

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Yeah.

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I'm a chemist again.

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My physiology is well behind me, but is

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that the said principle of the specific

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adaptation to impose demands?

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Would that be correct?

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The idea that your performance can

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improve if you drive

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that variation in it?

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Yeah.

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Yeah.

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So yeah, of course, I think it's just

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like anything, right?

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So the more you do it.

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So right now, I'm very focused on on my

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VO2 max and all those

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different things as a marker.

Speaker:

And I'm really doing half

Speaker:

protocol in the way I train.

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For example, I will do like, you know,

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I can't remember the name of this

Speaker:

protocol, but I think it's

Speaker:

something to do with Norway.

Speaker:

It's basically, you know, you run 800

Speaker:

meters and then you top again for two

Speaker:

minutes and do it again.

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You're actually a lot more likely to

Speaker:

develop your VO2 max than just

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going for very long distance.

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So there's many protocols like this that

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you can implement based on

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what you want to achieve.

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What is your goal?

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And this is a more true if you know your

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genetics, you know where you are now, you

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know how you react with those biometrics

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and you can track and progress with where

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you can adapt and make it dynamic.

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And I think this is how any

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athletes should do it now.

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And most of them do anyway.

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But we're still learning, but it's

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exciting that now you can track, you can

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see what you are made of and you can see

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where your weaknesses

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are, what you can prove.

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So, you know, already back in the day,

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right, if someone had certain athletes,

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like, I don't know, rugby players I was

Speaker:

coaching, if they had a lot of issues

Speaker:

with tendon injury, collagen genes,

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COL5-1 and all those different genes.

Speaker:

Well, we would supplement for sure and

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we'll make sure the recovery is on top.

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Also in terms of the conditioning, the

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training would be a lot about

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conditioning was tendon and

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preventing those injuries.

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Whereas, but someone who never had any

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injury and didn't have any of those

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genes, we will focus on other things

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where we were showing the weakness.

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So it's very interesting to see that in a

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team, there's different way

Speaker:

of training an individual,

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because none of them are average, right?

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So, but they shouldn't

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have the same training.

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They should have the same training for

Speaker:

sure as a team, but individually, it

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should be different.

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Yeah.

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Thomas, I think we could probably spend

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all day just talking

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about genes and DART.

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If I think we should probably,

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maybe, and that's my fault, I apologize,

Speaker:

I'm the king of tangents, we should

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probably go back to talk about

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the topic of today's conversation, which

Speaker:

is your latest venture, VTX.

Speaker:

Now, you're kind enough to send me a

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white paper in

Speaker:

preparation for this podcast.

Speaker:

And it was quite the monster, to be fair,

Speaker:

there was a lot there.

Speaker:

My main takeaway for your vision for VTX

Speaker:

is that you're aiming to sort of create,

Speaker:

I suppose, a platform driven by a

Speaker:

framework, or maybe an operating system

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is a better term, which I believe you've

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turned the smart health

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ecosystem or SHE or she.

Speaker:

The idea is to use AI to help move

Speaker:

medicine away from sort of a reactor

Speaker:

model, i.e. one that deals with health

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issues as they arrive to one that is more

Speaker:

preventative and I

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suppose regenerative in nature.

Speaker:

Now, chances are, I know I probably

Speaker:

butchered that to some extent, but I hope

Speaker:

that I got the gist of it.

Speaker:

Would you mind elaborating on this idea

Speaker:

of VTX and what drove

Speaker:

you to develop the project?

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Well, what drove me to this project?

Speaker:

I mean, I've been in the industry for

Speaker:

over 20 years now, and it's always the

Speaker:

same problem, right?

Speaker:

Trying to fix the system that...

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Well, the problem is that we have a 21st

Speaker:

century disease burden, but we still have

Speaker:

a 21st century system to deal with it.

Speaker:

And what I mean by that is if you look at

Speaker:

the healthcare system as it is now, and

Speaker:

when I'm saying all this, by the way,

Speaker:

it's not pointing the finger and saying,

Speaker:

"Oh, this is very bad," especially not

Speaker:

other people who work in that system

Speaker:

because they're amazing people that save

Speaker:

life on a daily basis, right?

Speaker:

But this is exactly it.

Speaker:

They save life on a daily basis because

Speaker:

it's an acute care system.

Speaker:

However, if you want to deal with the

Speaker:

problem of today, which are a massive

Speaker:

burden for individuals,

Speaker:

communities, governments,

Speaker:

whether it's economical, social burden,

Speaker:

it's diseases that are multi-factorials

Speaker:

that develop over decades, if not more,

Speaker:

and that we cannot treat as a one-cause

Speaker:

effect sort of scenario, which we do with

Speaker:

the healthcare system.

Speaker:

So if you go with anxiety, chronic

Speaker:

anxiety, let's say, and see the

Speaker:

healthcare system, they will treat you

Speaker:

with one single solution,

Speaker:

which is medication, right?

Speaker:

But it's not the source of the problem.

Speaker:

What is the source of the problem?

Speaker:

And this is where we want to find out

Speaker:

because we want to eradicate the issue

Speaker:

here before it becomes a bigger problem.

Speaker:

And yeah, I think it comes from there.

Speaker:

It's like, how can we create a system

Speaker:

that is about predictive prevention that

Speaker:

is in real time, but that is very much

Speaker:

personalized because it's a reality.

Speaker:

The healthcare system, as it is now, is

Speaker:

an average treat people as average, but

Speaker:

we are not average people.

Speaker:

We're all very different and we need to

Speaker:

have this very hyper-personalized

Speaker:

approach if we want to fix things.

Speaker:

And we also need a system that actually

Speaker:

includes the person in the middle,

Speaker:

because Reiner is very fragmented, is

Speaker:

very siloed, and you only go there when

Speaker:

you break down, and in between,

Speaker:

you're on your own, right?

Speaker:

And you don't know how to

Speaker:

participate in your health.

Speaker:

And with this sort of context, you're

Speaker:

almost like, "Oh, I don't know what to do

Speaker:

because I'm not a doctor."

Speaker:

But actually, when it

Speaker:

comes to prevention,

Speaker:

the fundamentals are lifestyle, diet,

Speaker:

environment, because this is what are the

Speaker:

issues of today to

Speaker:

develop the disease of today.

Speaker:

Yes, you cannot do brain

Speaker:

surgery, but that's acute care.

Speaker:

You don't need that, right?

Speaker:

Well, I hope we don't need that.

Speaker:

And this is where the idea of VITAX came,

Speaker:

is to create a system of our time where

Speaker:

with all the data we collect based on

Speaker:

someone's goals, how can we make

Speaker:

something that is real-time and give

Speaker:

nudges for you to adjust in real time and

Speaker:

put you back in this road of recovery or

Speaker:

actually de-aging pretty much, right?

Speaker:

Because we know that all those diseases

Speaker:

as well are aging-related diseases.

Speaker:

So how we can do all this is about making

Speaker:

you at the center of it.

Speaker:

And it has to be behavioral-centric.

Speaker:

But based on your data,

Speaker:

that is the idea of the platform.

Speaker:

And this is what we're doing now.

Speaker:

And then it's to really try to develop a

Speaker:

model where later, and I think we

Speaker:

shouldn't underestimate how things are

Speaker:

progressing very fast nowadays,

Speaker:

where we want to remove

Speaker:

people from their dashboard, right?

Speaker:

Or things like that.

Speaker:

Go outside.

Speaker:

And one of the real pillar

Speaker:

of longevity is communities.

Speaker:

Go outside and share.

Speaker:

So try to make things ambient in the

Speaker:

sense that you are being monitored if

Speaker:

things are going wrong and you're being

Speaker:

nudged only for adjustment.

Speaker:

And everything works

Speaker:

as an orchestra for you.

Speaker:

And that is the idea, is to create an

Speaker:

ecosystem where you have an end-to-end

Speaker:

system that works for

Speaker:

you in the background.

Speaker:

And you're being told, "Okay, you've done

Speaker:

very well because this

Speaker:

is your top priority.

Speaker:

This is your protocol.

Speaker:

And you've been doing

Speaker:

this for three weeks.

Speaker:

And you have, let's say for me, you have

Speaker:

reduced your insulin resistance by 30%

Speaker:

and decreased your chances of type 2

Speaker:

diabetes by 50% and

Speaker:

looking at numbers, right?

Speaker:

But that means also that your biological

Speaker:

age has reduced of five years in the last

Speaker:

three months, right?

Speaker:

And this is powerful because that is

Speaker:

something that is tangible,

Speaker:

that is prioritized, and that's real-time

Speaker:

predictive prevention.

Speaker:

Now, it's incredibly powerful information

Speaker:

to have because I also think it creates a

Speaker:

lot of accountability for

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the individual in question too.

Speaker:

If you, it's, I mean, I suppose the

Speaker:

closest thing that we have today is maybe

Speaker:

a diabetic on an insulin pump or who has

Speaker:

a CGM or someone who is regularly

Speaker:

watching their weight.

Speaker:

But if you don't have that sort of

Speaker:

immediate feedback, you're not going to

Speaker:

be able to course correct, are you?

Speaker:

So I think from that perspective alone,

Speaker:

this sort of technology is amazing.

Speaker:

Yeah.

Speaker:

And also, do you actually

Speaker:

need this feedback, right?

Speaker:

Is that for you?

Speaker:

And this can be also monitored by a

Speaker:

practitioner, right?

Speaker:

So if things are clinical, it should

Speaker:

always involve a practitioner anyway.

Speaker:

Yeah.

Speaker:

That's a question I have

Speaker:

for you a little later on.

Speaker:

Thomas, I'd love to dive a little deeper

Speaker:

if that's okay into the SHG, the SHG

Speaker:

framework, if that's okay.

Speaker:

Now, from what I remember, it's sort of

Speaker:

compromised, not compromised, are four

Speaker:

pillars, mainly predictive, proactive,

Speaker:

personalized, and participatory.

Speaker:

Now, I know you sort of covered that to

Speaker:

some extent already, but would you just

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mind running through each of these in a

Speaker:

little more detail and then, yeah, maybe

Speaker:

we could bring them all

Speaker:

together for the audience.

Speaker:

Yeah.

Speaker:

So the SHG is just a name in a smart

Speaker:

paper, but it's for a

Speaker:

small health ecosystem.

Speaker:

And the pillar really predictive is about

Speaker:

using biomarker and AI to identify risks

Speaker:

before symptom appear, right?

Speaker:

As simple as that.

Speaker:

It's a bit like, you know, if you know,

Speaker:

and I'll give you a concrete example,

Speaker:

you're in London, and by

Speaker:

your door, you have an umbrella.

Speaker:

If you look at the weather forecast, and

Speaker:

it's 20% chances of rain, maybe not going

Speaker:

to take that umbrella.

Speaker:

If you have 50% of rain,

Speaker:

you might take the umbrella.

Speaker:

If it's 80% of rain or more, you're going

Speaker:

to take the umbrella and the rain cold.

Speaker:

This is how we should

Speaker:

approach our health, I think.

Speaker:

And this is what is right

Speaker:

now my most important priority.

Speaker:

So what is my priority for me to not age

Speaker:

quicker than my chronological age and

Speaker:

actually decrease that, right?

Speaker:

So decrease my pace of aging, let's say,

Speaker:

by addressing one of my most important,

Speaker:

you know, things that I need to do.

Speaker:

So it can be everything.

Speaker:

Let's take again, insulin

Speaker:

sensitivity, inflammation.

Speaker:

Those are very important

Speaker:

things, stress management, right?

Speaker:

Was all very common.

Speaker:

And what can I do right now to prevent

Speaker:

this to happen with those biomarkers and

Speaker:

my symptoms, and potentially even, you

Speaker:

know, if you can applaud those things or

Speaker:

those data, a lot of people

Speaker:

are wearing wearables nowadays.

Speaker:

And how can you make it proactive, right?

Speaker:

So, proactive in a sense that the system

Speaker:

help you, guide you on your journey by

Speaker:

giving you little nudges.

Speaker:

You know, if you're very stressed and

Speaker:

you're low in magnesium and your cortisol

Speaker:

is very high, hey, don't forget your

Speaker:

magnesium tonight, or, you know, what

Speaker:

about doing a little two minute breathing

Speaker:

exercise in the middle of the day, right?

Speaker:

Because your cortisol is

Speaker:

spiking or your HRT is high, right?

Speaker:

So that's low, sorry.

Speaker:

So your stress response is very high, so

Speaker:

this is the sort of things

Speaker:

that will keep you in check.

Speaker:

And the more you do those things, it's

Speaker:

also about creating this behavior of

Speaker:

self-awareness and actually building

Speaker:

habits that are relevant to you.

Speaker:

And what I like about AI is we'll learn

Speaker:

from you and you will

Speaker:

learn from each other.

Speaker:

And you can, when you talk about AI,

Speaker:

we're not choosing chatty-pity, by the

Speaker:

way, it's our own system.

Speaker:

My co-founder, Christian Schwartz, can

Speaker:

look it up on LinkedIn,

Speaker:

is a top guy when it comes to AI.

Speaker:

And, I mean, I've learned so much the

Speaker:

last six months, which is crazy.

Speaker:

But we're talking about AI machine

Speaker:

learning, having our own system with

Speaker:

rules and we keep on learning about you.

Speaker:

And then personalized in a sense that

Speaker:

based on all of those data,

Speaker:

based on what you want to do,

Speaker:

what can you do as a protocol based on

Speaker:

your preferences, on

Speaker:

your goals, your lifestyle?

Speaker:

How can we actually make this as

Speaker:

frictionless as possible for you?

Speaker:

I like the idea of helping you, guiding

Speaker:

you and trying to make it as less

Speaker:

friction as possible because

Speaker:

we want to simplify your life.

Speaker:

We don't want to give you another thing

Speaker:

to do, another thing to do.

Speaker:

But when it's necessary to invite you

Speaker:

into doing things and hopefully to do

Speaker:

this within a community and help you to

Speaker:

achieve those goals.

Speaker:

And this is where participatory comes

Speaker:

from, is about you being in charge.

Speaker:

You probably heard a lot about

Speaker:

being your CEO of your health.

Speaker:

So it's a bit this way.

Speaker:

It's like you can set your own goal.

Speaker:

I mean, I have goals about,

Speaker:

I want to limit my gray hair.

Speaker:

But there's actually, when you're doing

Speaker:

that, there's markers, we know, there's

Speaker:

genetic, there's certain supplementation.

Speaker:

So, okay, this is your goal.

Speaker:

Fine.

Speaker:

Your priority is this and this.

Speaker:

This is what we want you to do.

Speaker:

But if you want to do

Speaker:

that on top, you can do that.

Speaker:

And this is what you can do for it and

Speaker:

see the improvements of the time.

Speaker:

So yeah, this is the idea

Speaker:

really of these four pillars.

Speaker:

And by doing this, we are most

Speaker:

importantly, reversing

Speaker:

the trend from a reactive,

Speaker:

a little too late model to a proactive

Speaker:

take things early on, learn, implement,

Speaker:

and make the changes that counts to

Speaker:

actually have a big impact in the long

Speaker:

term, in both social impact, individual

Speaker:

impact, and the economy even, because if

Speaker:

we don't change anything now, it's a 47

Speaker:

trillion dollar debt that

Speaker:

we have with the healthcare.

Speaker:

It's collapsing everywhere.

Speaker:

It's not sustainable.

Speaker:

We have to do something.

Speaker:

And unfortunately, why now is still not

Speaker:

the top emergency on

Speaker:

most government agenda.

Speaker:

It has to start with us.

Speaker:

If it starts with us,

Speaker:

legislation will follow.

Speaker:

Oh, definitely.

Speaker:

And I think that, I still think that if

Speaker:

you, if anyone ultimately wanted to

Speaker:

change the world and they sort of came to

Speaker:

sort of global power, I think the one

Speaker:

thing that would change the world faster

Speaker:

than anything else would be to focus on

Speaker:

healthcare and then focus on people being

Speaker:

sound metabolic health.

Speaker:

Because when you improve health, you

Speaker:

improve psychological outcomes, you

Speaker:

improve an individual's ability to create

Speaker:

wealth, to improve their financial state.

Speaker:

And it just has that trickle down effect.

Speaker:

But the moment you're sort of stuck in

Speaker:

this state of ill health as an

Speaker:

individual, as a society, everything else

Speaker:

just collapses

Speaker:

subsequently and as a result of that.

Speaker:

So I think, yeah, I can only praise you

Speaker:

that this project is incredible and I

Speaker:

really look forward to seeing it develop.

Speaker:

Thomas, I'd love to go take another step

Speaker:

back if that's okay and chat about the

Speaker:

e-code, the sort of system again from

Speaker:

maybe from a product or from

Speaker:

a sort of a wearable hardware

Speaker:

side of things.

Speaker:

Now, I imagine there'll be some buy-in in

Speaker:

terms of hardware that's needed.

Speaker:

Things like your wearables,

Speaker:

your devices, things like that.

Speaker:

Now, a few years ago, I don't, I wouldn't

Speaker:

have foreseen this to be an issue because

Speaker:

you bought something like an auto ring or

Speaker:

your Woot band and that was it.

Speaker:

And you just used it and you

Speaker:

got the data that you needed.

Speaker:

Now, everything is on

Speaker:

a subscription model.

Speaker:

So you're not necessarily only just

Speaker:

buying the product, you're obviously

Speaker:

having to pay for its use monthly.

Speaker:

Obviously, from a business standpoint,

Speaker:

from an individual, for individual

Speaker:

companies, that makes a lot of sense.

Speaker:

That's a great way of creating recurrent

Speaker:

revenue for your brand.

Speaker:

But obviously, for the average

Speaker:

individuals, those bills

Speaker:

all are going to add up.

Speaker:

What do you feel about this idea in

Speaker:

general within the health space?

Speaker:

And obviously, that's a speculative.

Speaker:

And maybe to add to

Speaker:

that, what do you think,

Speaker:

again, speculatively is a good sort of

Speaker:

baseline point of admission to in terms

Speaker:

of wearable tech that individuals should

Speaker:

be looking to utilize or acquire when

Speaker:

trying to make the most

Speaker:

of a platform like VTX?

Speaker:

Yeah, I mean, you can go from the basic

Speaker:

to the specialized, right?

Speaker:

So obviously, if you just counting steps,

Speaker:

you know, it might not be enough for

Speaker:

certain goals you may have.

Speaker:

However, if you're getting started,

Speaker:

and metabolic health is a top priority,

Speaker:

that's already quite valuable, right?

Speaker:

Because that's very easy.

Speaker:

And that's something, okay, I need to do

Speaker:

those 10,000 steps a day.

Speaker:

And then on top of the nutrition and

Speaker:

rubber, and that's already making a

Speaker:

massive change enough to potentially

Speaker:

prevent things, right?

Speaker:

Now, if you want to be specialized, and

Speaker:

you go very targeted, and you're like a

Speaker:

biohacker, and yeah, you want to have

Speaker:

more data, the more data is to debate up

Speaker:

to get a clearer, more defined, more

Speaker:

hyper personalized picture.

Speaker:

But let's do thing here.

Speaker:

The first thing is,

Speaker:

whatever data you have, you may have, if

Speaker:

you carry a phone like this,

Speaker:

you already have Apple Health.

Speaker:

And a lot already is

Speaker:

being tracked, right?

Speaker:

And what are the like the idea of is to

Speaker:

create universal upload of data.

Speaker:

So something for sure, we are doing on

Speaker:

this platform is allowing people to

Speaker:

upload their data for free, whatever data

Speaker:

they have, and to get

Speaker:

already some insights,

Speaker:

preferences, goals, and everything sort

Speaker:

of already will make

Speaker:

sense to for an individual.

Speaker:

Now,

Speaker:

the second thing is, the amazing thing

Speaker:

about AI and machine learning, and the

Speaker:

more it develops, the

Speaker:

better it becomes at predicting,

Speaker:

and making assumptions based on your

Speaker:

lifestyle, your diet, your environment.

Speaker:

So what something that AI is amazing at

Speaker:

is that looking at all those data,

Speaker:

and understanding which one are relevant

Speaker:

based on your goals, your

Speaker:

preferences, your symptoms.

Speaker:

And then suddenly, you

Speaker:

don't have 100 things to track.

Speaker:

So then maybe we can recommend you this

Speaker:

is the best thing for you to track.

Speaker:

You don't have to have 20 devices, right?

Speaker:

It can just be one for now.

Speaker:

And then once you have learned the

Speaker:

habits, maybe yes, now, because you have

Speaker:

changed this, and you have lost a lot of

Speaker:

weight, and you love training,

Speaker:

and you want to increase your value to

Speaker:

max, because you got hooked

Speaker:

by the whole thing of training.

Speaker:

Yeah, get to boot back, why not?

Speaker:

This, there's another thing, actually.

Speaker:

But what about if all of those data,

Speaker:

which by the way, something that is very

Speaker:

close to my heart is data ownership, full

Speaker:

data ownership means

Speaker:

your data remain your data.

Speaker:

And you should be able to opt in or opt

Speaker:

out to share those data.

Speaker:

But let's say you're opting to share

Speaker:

those data, those data have value.

Speaker:

And the value should be going back to

Speaker:

you, not to, and this is why let's not

Speaker:

talk about the two, three and me.

Speaker:

But this model didn't work probably

Speaker:

because basically take data off someone

Speaker:

and you make money out of it.

Speaker:

This is the old school way of doing it.

Speaker:

And I think we need to have a lot more

Speaker:

sustainable approach where you have your

Speaker:

own data, it's your

Speaker:

health data, you own them.

Speaker:

And if you wish to share them,

Speaker:

you should be rewarded for it.

Speaker:

And maybe you should be rewarded by

Speaker:

discounts or even freebies of this type

Speaker:

of wearables and have the one that you

Speaker:

need and you want based on your goal,

Speaker:

your preferences, and

Speaker:

also your health symptoms.

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So there is ways of doing it.

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I'm not saying we're doing it now,

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maybe.

Speaker:

But it's important to look at things

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first of how, where the trends are going,

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and what can we do with what we have now

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to make those things

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a lot more accessible.

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Yeah, definitely.

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I'm still very analog.

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I find that for most people and the

Speaker:

clients that I do work with things like,

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for me, I think a CGM, maybe a digital

Speaker:

BEP cuff, and then occasionally tracking

Speaker:

HRV are probably the tools in an analog

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capacity, of course, that you can sort of

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glean the most information from, purely

Speaker:

from just a metabolic health standpoint.

Speaker:

And I think those are, for me, would

Speaker:

probably be if somebody really wants to

Speaker:

start investigating their health beyond

Speaker:

the sort of the basics or the core key

Speaker:

blood work, those are

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great tools to start off with.

Speaker:

Thomas, I'd love to get back to this

Speaker:

idea, sort of sovereignty and data

Speaker:

ownership again, and all of that.

Speaker:

It was something I was going to ask you

Speaker:

later on, but I think this is a great

Speaker:

time to discuss the point.

Speaker:

Now, until recently, sort of companies

Speaker:

owning my data never actually bothered me

Speaker:

because I didn't actually sort of see it

Speaker:

as being a major issue.

Speaker:

Yeah, I've got my own 23andMe data, and

Speaker:

I've had 10 emails telling me that

Speaker:

somebody else has stolen it at

Speaker:

least once every other month.

Speaker:

And I thought, okay, so what?

Speaker:

Somebody knows my genetics.

Speaker:

But I've since sort of started to learn

Speaker:

and wake up to the fact, and maybe just

Speaker:

grow up and be a little less naive, that

Speaker:

there is really an issue with companies

Speaker:

owning your data, and they can start to

Speaker:

sort of impact the way that you're

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insured, for example, healthcare, etc.

Speaker:

Would you be able to sort of expand upon

Speaker:

that and why, as a society, we should

Speaker:

actually be so protective of our data,

Speaker:

especially our health data?

Speaker:

I think this

Speaker:

is your health data.

Speaker:

Again, if we can secure them in a

Speaker:

encrypted way, let's say, for you,

Speaker:

and nobody has access to them, only if

Speaker:

you want to share them, right?

Speaker:

I think it should be the way forward.

Speaker:

And actually, this should

Speaker:

be supported by legislation.

Speaker:

There's different reasons.

Speaker:

Obviously, we don't want to go into the

Speaker:

utopian version of you have your DNA data

Speaker:

leaked in someday, in a far, far utopian

Speaker:

future, someone will make a

Speaker:

personalized bio weapon for you.

Speaker:

But at least looking at your data, and

Speaker:

yes, having an insurance, like, you've

Speaker:

got high risks of cancer, let's say,

Speaker:

because of this gene.

Speaker:

First thing is false, like in the sense

Speaker:

that you can have a high risk variant of

Speaker:

something, let's say, apogee form, which

Speaker:

is related to Alzheimer, but it doesn't

Speaker:

necessarily mean you will

Speaker:

develop the disease, right?

Speaker:

It's the same with BRCA1 and BRCA2.

Speaker:

Actually,

Speaker:

breast cancer is not the gene, it's your

Speaker:

lifestyle, your diet, your environment,

Speaker:

the epigenetics that will amplify the

Speaker:

expression of that gene.

Speaker:

So yes, if you have this gene and you

Speaker:

drink every day, and you're stressed, and

Speaker:

you're very low in vitamin

Speaker:

D, that would be a problem.

Speaker:

But if you do all the right things, it

Speaker:

won't be a problem at all.

Speaker:

So that's the first thing is to make sure

Speaker:

that there is also accuracy in how those

Speaker:

institutions are thinking.

Speaker:

And the second thing is, basically not

Speaker:

have access to those

Speaker:

data without your content.

Speaker:

But actually, if you want to share them,

Speaker:

because you're doing the right thing, you

Speaker:

should rip off the benefits of having a

Speaker:

premium at a discount.

Speaker:

And it's also giving the opportunity to

Speaker:

solve a problem like cohort compiling for

Speaker:

research, for example.

Speaker:

Let's say the platform like

Speaker:

Ondos is over 100,000 users.

Speaker:

And it's interesting to see that you can

Speaker:

potentially, people have their data

Speaker:

there, and it's all secure, and Ondos

Speaker:

will never share data.

Speaker:

But if you were to have a system that

Speaker:

allows you to switch on or switch off

Speaker:

your data access to a research institute,

Speaker:

you could be part of a cohort.

Speaker:

And this is Imperial College, you want to

Speaker:

do a study on this, and your genes is

Speaker:

matching, you are the right

Speaker:

age bracket, blah, blah, blah.

Speaker:

And you could get free testing and plus

Speaker:

potentially be paid.

Speaker:

And for Imperial College, trying to

Speaker:

advance something and cover something

Speaker:

that could help the whole

Speaker:

population, that is beneficial.

Speaker:

So it's not the same angle of trying to

Speaker:

sell a data set to pharma

Speaker:

to make a single drug use.

Speaker:

Let's not go there.

Speaker:

But it's a very different ecosystem here.

Speaker:

And I think this is where we should, the

Speaker:

legislation should look at things and

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say, okay, this should be allowed.

Speaker:

And this is how it should be.

Speaker:

And this should not be, right?

Speaker:

Because that's just pure for profits.

Speaker:

So this is my stand on it anyway.

Speaker:

And probably, you know, some investor

Speaker:

would probably not like that.

Speaker:

But I think this is where it's going. 70%

Speaker:

of people now are happy to share the data

Speaker:

for insight, but they're not happy to

Speaker:

share their data if they know they're

Speaker:

going to be used for profit.

Speaker:

And there is a real awakening about this.

Speaker:

And it's normal, I believe.

Speaker:

Yeah, no, I think it is.

Speaker:

It's starting to sort of develop in

Speaker:

society as to why people's data is not

Speaker:

only important, but it's a value to them.

Speaker:

It's not to just binary information on

Speaker:

the internet that someone is just going

Speaker:

to utilize to sort of take email address

Speaker:

and sort of send you an offer for the

Speaker:

latest, I don't know, TV ad, whatever.

Speaker:

It is definitely a value.

Speaker:

Thomas, I'd love to sort of pick your

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brains about what I think about from time

Speaker:

to time, which is the

Speaker:

Wi-Fi and EMF piece.

Speaker:

Now, obviously, when we start to talk

Speaker:

about AI and technology, that's going to

Speaker:

start to sort of come to

Speaker:

the forefront a bit more.

Speaker:

Now, I'm not a physicist.

Speaker:

As I mentioned earlier, I'm a chemist.

Speaker:

I understand what these non-native

Speaker:

signals can do to the

Speaker:

body to some extent anyway.

Speaker:

And I do believe that where there's

Speaker:

smoke, there's fire.

Speaker:

Now, how much things like Wi-Fi are

Speaker:

actually detrimental to human

Speaker:

physiology is up for debate.

Speaker:

However,

Speaker:

and they're definitely

Speaker:

hard to get away from.

Speaker:

For everybody's best efforts, I mean, you

Speaker:

have 5G everywhere now,

Speaker:

whether that's an issue or not.

Speaker:

You have obviously Wi-Fi broadband and

Speaker:

now Elon Musk's

Speaker:

Starlink satellite's going up.

Speaker:

So we're constantly surrounded by that

Speaker:

sort of Wi-Fi exposure.

Speaker:

What do you think of this in terms of, I

Speaker:

suppose, mixing healthcare, AI together?

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Do you think this is broadly speaking an

Speaker:

issue, or do you feel sort of this

Speaker:

electromagnetic hypersensitivity piece is

Speaker:

a bit blown out of proportion?

Speaker:

Well, blown out of proportion, it depends

Speaker:

where you stand on it.

Speaker:

But there is definitely an impact, right?

Speaker:

It's for sure.

Speaker:

And we are electric currents after all.

Speaker:

So it definitely has an impact on us.

Speaker:

I would definitely not leave somewhere

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where there is those 5G antenna.

Speaker:

And we know we studied.

Speaker:

It's as many papers, it's various impact

Speaker:

on your health, on your

Speaker:

sleep, on a lot of things.

Speaker:

So I guess, what is the solution there?

Speaker:

And I don't have the solution, but I

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would definitely think that with the

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progress being made and it's things we

Speaker:

need to adapt and to

Speaker:

potentially find solution for.

Speaker:

We are already making biodiesel, why not

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one day, sort of making a hub find

Speaker:

solution for sort of

Speaker:

emission free internet, right?

Speaker:

So I don't think it's stupid of thinking

Speaker:

that because, well, things are

Speaker:

progressing very fast.

Speaker:

And there's always some innovation that's

Speaker:

like, wow, blow your mind,

Speaker:

especially, you know, probably in two,

Speaker:

three years time, AI might find a

Speaker:

solution for us, not for us, but from us,

Speaker:

but maybe AI itself.

Speaker:

So maybe I'm not hyper optimistic.

Speaker:

I'm a founder.

Speaker:

So maybe it's a character trait

Speaker:

of being very optimistic on this, but I

Speaker:

hope we will find a solution that because

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using AI and as a tool will

Speaker:

definitely improve our life.

Speaker:

And we obviously need

Speaker:

a connection for that.

Speaker:

And yeah, just to see how,

Speaker:

what are the alternatives.

Speaker:

So I'm not an expert on this particular

Speaker:

field, but I'm quite hopeful

Speaker:

that we will find solution.

Speaker:

And at least what we can do now again is

Speaker:

to track the effects on us and to

Speaker:

understand this more.

Speaker:

And it's maybe a first step to understand

Speaker:

it more, to really raise this as not a

Speaker:

hoax, but as actually not a conspiracy

Speaker:

theory, but actually as a fact.

Speaker:

Now that it is a fact, validated as a

Speaker:

fact, what can we do with it?

Speaker:

What is the first step?

Speaker:

Because something that we realize is

Speaker:

we're sort of running out of

Speaker:

conspiracy theory nowadays.

Speaker:

So yeah.

Speaker:

Yeah.

Speaker:

No, thank you for that.

Speaker:

It's great to get your opinion there.

Speaker:

And for anyone who is interested in the

Speaker:

wifi piece, the non-native EMF field

Speaker:

piece, I invite you to listen to the

Speaker:

podcast I did recently with Tristan

Speaker:

Scott, who really is,

Speaker:

he's an electrical engineer.

Speaker:

I'm sure you're familiar with him.

Speaker:

He's helping to run

Speaker:

daylight in future at the moment.

Speaker:

Of interest, I think is the fact that I

Speaker:

don't know if you've heard of LiFi.

Speaker:

They are a web, they're obviously an EMF,

Speaker:

an EMF based protocol that utilizes light

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to transmit information

Speaker:

instead of wifi radiation.

Speaker:

But that is, yeah, that was something

Speaker:

that will hopefully

Speaker:

develop as time progresses.

Speaker:

Okay.

Speaker:

So Thomas, another question about VTX.

Speaker:

The way I said it's definitely at the

Speaker:

moment, it's aimed at, well, it is.

Speaker:

It's aimed at helping people to maintain

Speaker:

their health or maybe people with sort of

Speaker:

mild health challenges

Speaker:

reclaim their health.

Speaker:

But I think what I'm interested in seeing

Speaker:

the tech, where I'm interested in seeing

Speaker:

the technology go would be where,

Speaker:

would it be able to help us say issues

Speaker:

like, or do you have any plans to

Speaker:

integrate it into more

Speaker:

sort of acute conditions?

Speaker:

So do your autoimmune illness conditions,

Speaker:

your things like your post viral

Speaker:

fatigues, complex metabolic issues.

Speaker:

Do you have any plans in regard to

Speaker:

getting the technology to that point?

Speaker:

Or is your aim at this

Speaker:

point solely preventative?

Speaker:

Yeah, I mean, this is

Speaker:

part of prevention, right?

Speaker:

And I think is from fatigue, chronic

Speaker:

fatigue to diabetic to early, you know,

Speaker:

early sort of cancer markers, and the

Speaker:

interconnection between those different

Speaker:

things are very important.

Speaker:

So obviously, you don't want to through a

Speaker:

platform tell someone you have an high

Speaker:

risk of developing a cancer.

Speaker:

And this is why having a practitioner in

Speaker:

the loop monitoring is very important.

Speaker:

And I think understanding this sort of

Speaker:

biosignals to catch all the deviation

Speaker:

before this is start of progressing is

Speaker:

definitely a goal, right?

Speaker:

So mitochondrial dysfunction in fatigue

Speaker:

is identified via genomics,

Speaker:

for example, already, right?

Speaker:

And then so you tie up the HRB, right?

Speaker:

And certain nutrient depletion.

Speaker:

And that's already a sort of cocktail

Speaker:

that can really help

Speaker:

with your chronic fatigue.

Speaker:

So what are you deficient on, you know,

Speaker:

you're suboptimal in vitamin D, you're

Speaker:

suboptimal in vitamin B12, B9, B1,

Speaker:

you're, you know, all

Speaker:

those different things.

Speaker:

And you're very stressed.

Speaker:

That's where you start and try to address

Speaker:

all those points, and see the change over

Speaker:

time and see the symptoms over time.

Speaker:

Is it still chronic fatigue now?

Speaker:

Well, actually, no,

Speaker:

I'm feeling much better.

Speaker:

I have a lot, I don't have this

Speaker:

afternoon's stop anymore.

Speaker:

And oh, maybe it's because you're, you

Speaker:

know, your your B vitamins and your

Speaker:

vitamin Ds are back to optimal ranges.

Speaker:

Because that was your protocol in the

Speaker:

last few weeks, right?

Speaker:

And you're less burnout because you're

Speaker:

implementing breath work on an everyday

Speaker:

basis, which only takes you

Speaker:

three minutes by the way, right?

Speaker:

There's very simple things to reduce

Speaker:

cortisol and remove stress,

Speaker:

which is just breath work.

Speaker:

It's just how breath, right?

Speaker:

So it's easy.

Speaker:

And there's many techniques I'm not going

Speaker:

to go through there, but it's easy.

Speaker:

You just,

Speaker:

you know, yeah, it's very easy.

Speaker:

So, yeah, definitely.

Speaker:

I hope you answered your question.

Speaker:

No, it does.

Speaker:

And you sort of, you've brought up an

Speaker:

interesting point about doctors and sort

Speaker:

of the systems working

Speaker:

alongside physicians.

Speaker:

Where do you,

Speaker:

obviously, currently you still see

Speaker:

physicians as being vital

Speaker:

to this picture as a whole.

Speaker:

But in the coming years, as you sort of

Speaker:

get to this point of AGI, and as the

Speaker:

technology was developed, do you think

Speaker:

there will still be a place for

Speaker:

physicians in this picture going forward,

Speaker:

say in the next 10 years?

Speaker:

Definitely, because, well, you have the,

Speaker:

we talked about the acute care system

Speaker:

where you're basically

Speaker:

a firefighter, right?

Speaker:

But I think doctors should see, see

Speaker:

themselves merging instead of like, oh,

Speaker:

you're the picture of health, which is

Speaker:

the answer mostly when you have a

Speaker:

condition, but, you

Speaker:

know, your bloods are normal.

Speaker:

Looking into guiding someone into

Speaker:

improving over time to remove

Speaker:

the source of those problems.

Speaker:

So I see this physician to be guiding

Speaker:

people, users to manage the complexity

Speaker:

while AI handled the routine, but it

Speaker:

needs to obviously be

Speaker:

validated by the practitioner.

Speaker:

So this protocol is relevant because the

Speaker:

AI looked at all of the data, which will

Speaker:

take probably a month to a practitioner

Speaker:

to do the Charlo Com works, if you look

Speaker:

at a lot of data, right?

Speaker:

And this is the, you know, the outcome.

Speaker:

And this is actually very interesting for

Speaker:

the practitioner because it's a summary,

Speaker:

and this is what we should do.

Speaker:

And I think we should accept more and

Speaker:

more to work this way to use with

Speaker:

technology to accept, but actually, yes,

Speaker:

there is, and it will be even more

Speaker:

better, I would say, at

Speaker:

making the right conclusion.

Speaker:

Already now in Rajuloji

Speaker:

and all those different

Speaker:

thing, we, you know,

Speaker:

AI is already better.

Speaker:

So we need to accept this.

Speaker:

That's, you know, and the IQ will be

Speaker:

around 1500 within two years, which we'll

Speaker:

never be able to do.

Speaker:

And it's a way scary, but if we use it as

Speaker:

a tool for better outcomes for the

Speaker:

physician is better.

Speaker:

And then obviously the

Speaker:

emotional touch of guiding, right?

Speaker:

So a physician

Speaker:

will help on, you know, guiding this

Speaker:

through the emotion of

Speaker:

the thing and supporting.

Speaker:

So this compassionate guidance, I would

Speaker:

say, that's not something

Speaker:

in the eye can do, right?

Speaker:

So we need this.

Speaker:

So I think the AI will

Speaker:

handle the what and when,

Speaker:

so to speak, and the doctors will indulge

Speaker:

the why and the how, right?

Speaker:

This is how I said.

Speaker:

Yeah, no, I couldn't agree more.

Speaker:

And I definitely don't think physicians

Speaker:

are going away anytime soon.

Speaker:

I do think that ultimately, their

Speaker:

positions might change, sort of, as you

Speaker:

alluded to, and then they may be almost

Speaker:

more patient care coordinators maybe

Speaker:

going forward, at least sort

Speaker:

of at a sort of a GP level.

Speaker:

And then obviously, this integration of

Speaker:

AI will really help to just improve

Speaker:

patient health outcomes.

Speaker:

Because I think that's something that the

Speaker:

traditional model really struggles with

Speaker:

and is throttled by is just this lack of

Speaker:

time as you alluded to at the very

Speaker:

beginning of our conversation.

Speaker:

It's not that doctors are

Speaker:

useless or that they don't try it.

Speaker:

They just they are at the mercy of a

Speaker:

system that doesn't actually really

Speaker:

support patient care.

Speaker:

It supports if there's a financial

Speaker:

incentive, ultimately, and you are just

Speaker:

pushed through, you're given your 10

Speaker:

minutes in the doctor's office.

Speaker:

Because the system is designed, the

Speaker:

system is the problem, right?

Speaker:

It's not a doctor, obviously, is the

Speaker:

system is designed for the doctor to be a

Speaker:

responder, not a curator of care, right?

Speaker:

And we want to flip the script here and

Speaker:

to just do that to allow the doctor to

Speaker:

focus on what is best at.

Speaker:

So being human

Speaker:

interpretation, complex decision,

Speaker:

and, you know,

Speaker:

this, again, this

Speaker:

compassionate guidance, right?

Speaker:

And I think it's also a guiding and

Speaker:

helping hand for doctors and

Speaker:

practitioners, because nobody wants to be

Speaker:

under all this paperwork and to be under

Speaker:

the Charler-Cone's work between lab

Speaker:

reports sometimes can

Speaker:

be, you know, very tiring.

Speaker:

And when you realize you're missing some,

Speaker:

you know, important information, but you

Speaker:

have not been given before, and then you

Speaker:

have to redo the whole thing.

Speaker:

It's like, all those

Speaker:

things can be improved.

Speaker:

And that is with the

Speaker:

help of digital AI and tech.

Speaker:

Yeah.

Speaker:

Yeah, no, I do appreciate that point.

Speaker:

And I mean, I think it's that's fairly

Speaker:

consistent in any service-based industry.

Speaker:

I mean, my parents are teachers.

Speaker:

I know plenty of doctors and all of them

Speaker:

moan about the amount of

Speaker:

administrative paperwork.

Speaker:

I mean, yeah, administrative work that's

Speaker:

building up is fair.

Speaker:

And people are able to spend, in these

Speaker:

professions, seemingly are able to spend

Speaker:

less time with their patients as they

Speaker:

have to deal with more and more red tape.

Speaker:

So if this sort of infrastructure going

Speaker:

forwards can even offload a lot of that,

Speaker:

I think it would just improve outcomes.

Speaker:

It's, AI will amplify, right?

Speaker:

It will not reflect to

Speaker:

come back to the things.

Speaker:

And in the VxOS,

Speaker:

what we were talking about is helping

Speaker:

about detecting subtle

Speaker:

trends before base scale, okay?

Speaker:

And provide a sort of risk assessment and

Speaker:

suggestions already to the doctor.

Speaker:

And then this is about

Speaker:

automating a health journey.

Speaker:

And having done already a

Speaker:

bit of a triage and reminders,

Speaker:

while the physician will validate,

Speaker:

contextualize those insights.

Speaker:

And I think this is very important.

Speaker:

And make all those clinical decisions on

Speaker:

diagnostic and therapies, because you

Speaker:

don't want to leave that to AI, right?

Speaker:

So yeah, I think it's,

Speaker:

yeah, I see the doctors becoming more of

Speaker:

a relationship-based care sort of thing.

Speaker:

Coaching and patient

Speaker:

education and handling

Speaker:

Yeah, and I'll see this a very

Speaker:

sign-in-bout, sign-in-biotic

Speaker:

relationship, right?

Speaker:

So the AI will help for the precision.

Speaker:

And the doctor again, will bring this

Speaker:

wisdom and the empathy, right?

Speaker:

Yeah, no, I again, I couldn't agree more.

Speaker:

And I think it's just going to streamline

Speaker:

healthcare going forward.

Speaker:

Thomas, I know we're starting to slowly

Speaker:

come up against time.

Speaker:

But I'd love to ask you about the pilot

Speaker:

project that you have VTX.

Speaker:

I think it's based in New York, if I'm

Speaker:

not, if I'm not incorrect.

Speaker:

Can you tell us a little about that?

Speaker:

Excuse me, can you tell

Speaker:

us a little more about it?

Speaker:

Sort of the good, the bad, ugly, what

Speaker:

you've learned and sort of how you sort

Speaker:

of envisage the rollout going forward as

Speaker:

a result of this project?

Speaker:

Well, first, you know,

Speaker:

there's a lot of top secret there,

Speaker:

to a certain extent.

Speaker:

But the, what I can say is, and it comes

Speaker:

back to the viewpoint we've just

Speaker:

highlighted is, it's really important to

Speaker:

have AI and the

Speaker:

practitioners, doctors in the same group,

Speaker:

and putting all of it within a clinic,

Speaker:

which I wouldn't call a clinic.

Speaker:

But let's say a wellness hub for

Speaker:

precision prevention is very powerful.

Speaker:

If you can have an

Speaker:

operating system and try to,

Speaker:

we have, again, we have a very strong

Speaker:

accurate care system in

Speaker:

place, an establishment.

Speaker:

But what about having an establishment

Speaker:

where it's all about predictive

Speaker:

prevention in real time, and looking at

Speaker:

in a city environment,

Speaker:

a smart city, let's say,

Speaker:

the doctor is actually monitoring and

Speaker:

reaching out to someone when things

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becoming more or less clinical to stay

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below that clinical range and make sure

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that we are in the prevention

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and real time optimization.

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And that is possible

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within a clinic environment.

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And you can see them

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as tower control almost,

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where you can have intervention, targeted

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intervention in real

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time for health utilization.

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And another thing, this is really

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something that I would

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like to achieve there.

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That is the first layer.

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And the second layer,

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which is a bit more top secret,

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but what about creating something that

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your home is monitoring you?

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Because, again, those

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things will start to disappear.

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And I think with AI, things to like,

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those dashboard and

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everything will become ambient.

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And if your home can track you in the

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background as an orchestra, you go to

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your bathroom, you do your daily routine,

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you do your things, and this data, right?

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You're urine, your stool sample, your

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microbiome, you already have like, you

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know, you can collect

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hundreds of biomarkers.

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You're going to put

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regenerous stuff out of business.

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Sorry?

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You're going to put

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regenerous out of business.

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Obviously, I'm part of the founding team.

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But it's a reality, things evolve, right?

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The only constant is change.

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And I think it's where it's going.

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But if you have an operating system, but

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when you told you with the clinic

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structure, and the professional,

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a bit like a tower control of planes,

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when the red dots, this goes out of path.

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Oh, let's reach out to

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this client and invite him.

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And we already know the reason why this

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person goes out of the path, right?

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Because of those markers, if it's fixable

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by lifestyle, diet and environment, we

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can give them nudges, specific protocol

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without them coming.

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If they need to, if they want to speed up

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the process, and maybe your hyperbaric

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chamber is going to help them, because

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this is post COVID symptoms related,

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maybe they need a bit

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more oxygen in their blood.

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That will be helpful as to that, okay, if

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you don't want to do

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that, the still those options.

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And things are a bit more

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clinical, you're really

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suboptimal on those things.

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Come and do an ID on those things.

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Maybe, you know,

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that's real time predictive prevention,

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and scalable to a level

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of, you know, smart cities.

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And then you have a model that you can

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potentially expand as something that is

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interconnected, real

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time, and deliver results.

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It's incredible.

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And it's something I'm

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personally excited about.

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I think that maybe it's just the inner

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sort of biology geek in me, but I think

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having this sort of this information is

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not only exciting, but it's ultimately

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sort of just life changing, and it will

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be life changing for so many people.

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Thomas, you've been a star.

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Before I let you go, would you be open to

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answering a few rapid fire questions?

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Rapid fire questions.

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Rapid fire questions.

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Yes, they're never rapid fire.

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I have yet to.

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I think that's normally my fault, but

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let's see if we can give it a go.

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Okay.

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What's your favorite wearable device?

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Whoop.

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The reason for this is because I lost two

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URAR rings in the sea.

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So I didn't want to lose a third one

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because, you know, not cheap.

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And I'm a swimmer.

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So and I like to swim in the sea and

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yeah, it just doesn't work.

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So I whoop.

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The reason is well, I like to track my

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workouts and I like to see being working

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usually under stress

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and intense, let's say.

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HRV is a good marker or stress monitor is

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a good marker for me to look at.

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And sleep is super important for me if I

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want to perform what I do.

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And as training is on a daily basis, you

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know, I have my time block

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for it and I like to track.

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And also if I see that, you know, the

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combination of too much training and too

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much work, I know where I need to recover

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and potentially do something later.

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Right.

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So yeah, this is why I like whoop.

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And especially now they're launching

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those health sort of

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lifespan, health span, sorry.

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Very excited to unlock this among you

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like three or four

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days away of unlocking it.

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You need it to be 21 days.

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I just ascribe to it.

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So let's see.

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Let's see what it gives.

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Yeah, that's my answer.

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Trying to sort of fire it right now.

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That's fun.

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That's fun.

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Like I said, these are never quick.

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Anyway, yeah, no, I've I saw Chris

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Williamson had a podcast with

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the founder of Whoop recently.

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And yeah, I'm very, I'm looking forward

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to the new generation there.

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I'll definitely be emailing you and

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asking you some questions after the fact.

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Okay, besides healthcare, what are you

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most excited about in terms of AI?

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Which sort of industry do you are you

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most excited to see it

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get into and develop?

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Architecture, design, also something that

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I really like outside of tech.

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Yeah, but that's fine.

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That's a far one.

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That's a far one.

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Yeah, no, I know

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nothing about architecture.

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If you asked me to build

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something, it would fall down.

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So okay, if you could only track one

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biomarker for overall

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health, what would it be?

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I think it would be yeah, I mean, HIV,

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the reason being is HIV can

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be a lot of things like stress,

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obviously the sleep quality, but also can

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be showing potentially

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sign of chronic inflammation.

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If you really don't get this HIV back on

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track, and especially because once you

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start linking HIV to over biomarkers,

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it's become very interesting.

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And for me personally, it is, but also

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it's quite accessible, right?

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You don't need to test and something that

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is dynamic, which is like as well.

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So you can quickly change your HIV based

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on your lifestyle, your

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diet environment, right?

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So if I decide to go for dinner tonight,

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have a glass of wine, I know it's going

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to be very bad tomorrow.

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But if I do a breathwork session, or when

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I go swimming in the

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sea, it will be to the roof.

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And so yeah, it's very

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reactive, which I like.

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Yeah, perfect answer.

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Thank you for that.

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Okay, two more.

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There's a lot of interest in the sort of,

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I suppose, the health world at the moment

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about trying to optimize health sort of

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based off sort of single gene

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polymorphisms, like MTHFR.

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And all of a sudden, if you can try just

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sort of dial in this one gene, you can

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improve all aspects of your health.

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I think I know your answer.

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Yeah, this is not about MTHFR saying,

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"Oh, it sounds like a squared world."

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But I really think it does,

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especially the way it is used.

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I think it's overrated

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to just use MTHFR 100%.

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It's marketing, I'd say.

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We know that yes, your genes are

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important, but a single gene on its own

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is just one better point is

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far from the whole picture.

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And I mean, I've wrote

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a book about it in 2015.

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I talk about MTHFR,

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but alone has little value

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and always has been my stand.

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Mitillation pathways are

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complex and it's not just one gene.

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You have comped, you have

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like, there's plenty of others.

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And also, it needs to be

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analyzed as a whole, right?

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We've been moving a context.

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If you have MTHFR issue and

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you are a 55 years old woman,

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it's very different if you

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are a 25 years old, you go male.

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And what does it mean?

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So also, what is your goal?

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Where are you right now

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in your health journey?

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And what are all the other

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genes, variation and

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biomarkers that are related to that?

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So the B-litanins, all those different

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things, and detoxification pathways.

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So yeah, sorry, long answer, but I

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couldn't go forever on this because it

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doesn't always mean sometimes.

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I mean, I don't get it, but yeah, I think

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it's sometimes very much

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misused for marketing reason.

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No, I agree completely.

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And now you've actually answered my next

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one, which is what you would think of

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polygenic risk scores.

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But I think you've already answered that

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right in the idea that you

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think it's valuable for sure.

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Again, because a single

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SNP is just noise, right?

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And it has minimal

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impact and little context.

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Well,

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polygenic score, in contrast, I think

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it's you know, combining thousands of

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genetic variants into

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a meaningful pattern.

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And if you interpret this correctly,

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they reveal your, you know, your genetic

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predisposition and your score, your risks

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of where you should be focusing on.

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And yeah, it's powerful

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for prevention, for sure.

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Yeah, definitely is.

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Thomas, you've been a

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star and an amazing guest.

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Where can people find you if they'd like

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to connect or learn more about VTAX or

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your other projects?

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So Thomas Olivier on LinkedIn,

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vtaix.health, if people want to join the

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waiting list, there's a lot

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of amazing things coming up.

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The name might change, by the way.

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Yes, we want to have

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more of the user interface.

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But being saved at

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x.health is the website for now.

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And yeah, I invite people

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to be part of this new era.

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Perfect.

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And I'm sure the domain will redirect if

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you do change the

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name and we'll update it.

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So perfect.

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Thank you so much for your time.

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It's been a pleasure chatting.

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And I look forward to

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doing so again in the future.

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Likewise.

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Speak to you soon.

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Thank you very much.