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Dr. Rhonda Patrick

@foundmyfitness1,529,262 subscribers

Ph.D in biomedical science interested in nutrition, brain & aging. Host of FoundMyFitness podcast https://t.co/rirQwqebxL

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The next decade may be the most consequential longevity window of our lives. In a brand-new episode of the FoundMyFitness podcast, I sit down with immunologist and aging researcher Dr. Derya Unutmaz (Derya Unutmaz, MD) to explore a provocative possibility: AI may accelerate medicine fast enough to change what aging, cancer, and disease prevention look like within our lifetimes. Derya is not making these predictions from the sidelines. OpenAI has repeatedly featured his work as evidence that frontier models can contribute to real scientific discovery—including a case study in which GPT-5 helped his lab solve a three-year-old immunology mystery. We discuss how AI is already compressing months of biological analysis into hours, how digital twins could personalize treatment and shorten clinical trials, and whether disease could be predicted years before symptoms appear. We also get into: • Why he believes the next 10 years could add decades to human lifespan • Why cancer is so difficult to cure—and why he thinks that may change • When avoiding AI support could become medically irresponsible • What supercentenarians reveal about engineering greater resistance to aging • How cellular reprogramming might restore younger biological function • How to begin building a simple “mini digital twin” from your own health data You do not have to agree with every timeline to appreciate the stakes. This is one of the most ambitious conversations we have had about the future of biology and medicine. The episode is available now on YouTube, Spotify, and Apple Podcasts. Links in the comments below. Timestamps: 0:00 - Introduction 1:27 - Add 50 years to your life? 5:35 - Months of analysis in minutes 11:06 - Trials in weeks, not years 13:42 - How safe is safe enough? 17:57 - Have we hit AGI? 23:39 - The case for AI optimism 29:51 - Crossing the intuition threshold 36:32 - Is avoiding AI malpractice? 42:35 - Can AI catch cancer's next move? 46:09 - Which AI models to trust 51:45 - Claude vs. GPT in diagnosis 55:15 - Generalist vs. specialist AI 58:41 - Cancer's self-vs-self problem 1:02:35 - The end of cancer? 1:06:46 - A dog's custom cancer vaccine 1:08:47 - Can AI prevent overtreatment? 1:11:44 - Predicting disease years early 1:18:06 - Biology goes exponential 1:23:15 - Why prevention beats reversal 1:29:07 - Engineering aging resistance 1:34:23 - One gene, many outcomes 1:38:28 - Reverse-engineering the lucky 1:40:38 - From Dolly to Yamanaka factors 1:45:12 - Full-body rejuvenation 1:53:00 - What if AI thinks for a month? 1:55:42 - The biosecurity dilemma 2:00:28 - Limits of epigenetic clocks 2:06:51 - The cells that won't retire 2:09:38 - Can brain aging be reversed? 2:16:06 - The ultimate longevity prompt 2:18:06 - How to build a digital twin 2:27:42 - The personal health wiki 2:30:50 - When lab ranges mislead

Dr. Rhonda Patrick

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