JJ Virgin4x NYTimes Best Selling Author, Certified Nutrition Specialist, Fitness Hall of Famer

Dr. Darshan Shah on AI-Powered Personalized Health

24 Jun 2026 · 1 min

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In this interview segment, Dr. Darshan Shah explains the concept of a digital twin for personalized medicine. He describes a two‑step process: first, aggregating sufficient personal health data to model an individual’s current biological state; second, programming the model with data on specific interventions to simulate and predict how those interventions would affect the person. He highlights menopause treatment as a compelling example, where a digital twin could test potential therapies before the patient tries them, offering a “game‑changing” approach. Dr. Shah also warns of a major risk: people might overly trust and hand over all of their medical care to an AI model, which could lead to dangerous over‑reliance.

Chapters

What is a digital twin? A digital twin basically first is created by having enough of your data so we understand what is the current state of your biology. And then the second step of digital twin is programming it with the data of what happens with specific interventions. And then we can make a prediction on how would that intervention affect you and your digital twin. I mean, I think this is something that will be a game changer for menopause, for example. So say you're having symptoms and you want to try a particular intervention. How's it going to affect you? Like, you don't know until you try it, or you can have your digital twin try it and see, and see what the data tells us. This is wild. Yeah, it's going to be an incredible new world that we're in in the next 5 years for sure. What do you see the risks with all of this? One of the biggest risks will probably be the people out there that fully transfer all of their medical care to an AI model.