#113 Why AI Could Add Decades to Your Lifespan | Dr. Derya Unutmaz

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The next 10 years may add decades to human lifespan by compressing the time it takes to understand, treat, and prevent disease. In this episode, Dr. Derya Unutmaz explains why accelerating AI could transform drug discovery, shorten clinical trials, and push cancer treatment toward increasingly personalized interventions. He also reframes AI not as an existential threat, but as a medical enabler that doctors may soon be ethically obligated to use.

Timestamps:

• (00:00) Introduction
• (07:11) Why the next 10 years may add 50 to your lifespan
• (11:19) How AI is transforming drug discovery
• (16:50) Could digital twins shorten clinical trials?
• (19:25) Can AI predict drug safety and efficacy?
• (23:40) Have we already reached AGI?
• (29:23) Why AI may be medicine's greatest force multiplier
• (35:35) Can AI replicate a scientist's biological intuition?
• (42:16) Is it malpractice for doctors not to use AI?
• (48:18) What happens when AI monitors disease in real time?
• (51:52) Which AI models should doctors trust?
• (57:29) Claude vs. GPT—does the model matter for diagnosis?
• (1:00:58) Generalist vs. specialized AI—which works better in medicine?
• (1:04:25) Why cancer is so hard to cure
• (1:08:18) Could cancer be curable within a decade?
• (1:12:29) Can AI design cancer treatments on demand?
• (1:14:31) How AI could curb overtreatment and side effects
• (1:17:28) Predicting cancer years before it forms—is it possible?
• (1:23:50) Why biology could go exponential with AI
• (1:28:58) Why aging may be easier to prevent than reverse
• (1:34:51) Can the body be engineered to resist aging?
• (1:40:07) Can AI model how gene therapy will behave?
• (1:44:12) What people who reach 110+ reveal about Human 2.0
• (1:46:21) From Dolly to Yamanaka factors—the case for cellular age reversal
• (1:50:56) Why full-body rejuvenation is an engineering problem
• (1:58:44) What happens when AI reasons longer about biology?
• (2:01:25) The biosecurity dilemma of powerful AI
• (2:06:12) What should we actually measure to track aging?
• (2:12:34) How old immune cells distort aging clocks
• (2:15:22) Why reversing brain aging is uniquely difficult
• (2:21:49) The ultimate prompt for extending lifespan
• (2:23:50) What data does a true digital twin need?
• (2:28:32) How to build a mini digital twin today
• (2:33:26) How to give AI a long-term memory of your data
• (2:36:33) Why personal baselines matter for AI advice

Show notes are available by clicking here

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