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Well Beyond 40

Revolutionize Your Longevity with AI

Well Beyond 40

JJ Virgin

Nutrition, Fitness, Health & Fitness

4.51K Ratings

🗓️ 24 July 2026

⏱️ 12 minutes

🧾️ Download transcript

Summary

What would change about your healthcare if an AI could model your exact biology instead of general population averages? I sat down with Dr. Darshan Shah, a physician of 30 years and the founder of Next Health, to talk about where personalized medicine is headed — starting with the wild idea of a "digital twin" that can help predict how your body will respond to everything from sauna sessions to surgery. We got into why AI is only half the equation, and why the best care will always pair that technology with an empathetic human practitioner. Darshan also walked me through the pyramid he uses with patients, proving that the flashiest biohacks mean nothing without the foundational habits of sleep, movement, and nutrition underneath them. (00:00) What a digital twin is and how it's built from your data. (01:31) How close we already are to having your own digital twin. (01:44) Why digital twins could be a game changer for menopause. (02:53) The biggest risk of letting AI replace human healthcare. (04:39) What Next Health is and why Dr. Shah built it. (07:07) Why your foundational habits have to come before advanced biohacks. (08:13) How Next Health's four-level pyramid guides your health journey. (10:11) What's most exciting right now for women's health over 40. Watch the full episode: https://youtu.be/SIZ3_JWVoBo?si=qbLR_RT2xfRZec0U Full show notes (including all links mentioned): https://jjvirgin.com/drshah

Transcript

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0:00.0

What is a digital twin?

0:01.9

Yeah, that's a great question.

0:03.2

So a digital twin, basically, first is created by having enough of your data, so we understand

0:10.3

what is a current state of your biology.

0:12.7

And then the second step of digital twin is programming it with the data of what happens

0:18.5

with specific interventions, okay, to the general population.

0:22.0

And then what we can do is now we can extrapolate what do that population data show us,

0:29.2

pick out the, you know, 40-year-old woman in that data set and see what happened to them,

0:34.8

and then we can make a prediction on how would that intervention affect

0:38.9

you in your digital twin? Okay. So I can give you an example real quick. Like say there's a study

0:45.1

out there on, you know, 5,000 women on sauna use and how that affects their HRV. And then you're like,

0:51.6

huh, I wonder how my digital twin would be affected by HRV.

0:55.8

And so it would go into that study, find all the women that are close to you based on the

1:00.2

data that it has, and say, okay, all the women that are close to your age range, maybe they

1:04.9

have your resting heart rate in there, sauna use for 18 minutes improve their HIV by 20%. So then we'd be like, okay, you're a digital twin, JJ, is going to improve your HRV by 20%. Could you imagine that with all so many interventions, right? It's amazing. Yeah. So you can just go, okay, put me on this exercise program. Let's see what happens. And these are the things that should happen. Yes.

1:27.7

Yeah, that's fantastic.

1:29.2

How close are we being able to all have a digital twin?

1:32.0

We're very close.

1:32.8

I mean, it's basically, I think it's definitely available now to a certain degree, but I think

1:39.3

as time goes on and we have more and more data, it's going to get more and more precise.

1:44.0

So how on, like, just that piece of it then, someone going through menopause with all the

1:50.7

hormones and everything else, and there's so much variation. I mean, is this something that

...

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