Too often, we focus on treating symptoms without fully understanding the systems underneath them—or the conditions that allow the body to function well in the first place.

On this episode of The Dr. Hyman Show, I sit down with Fidji Simo, CEO of Applications at OpenAI, to explore how AI could help us shift medicine from treating symptoms to restoring systems. We talk about why chronic illness is so often misunderstood, how health data has been fragmented across silos, and what becomes possible when we finally see the full picture. Watch the full conversation on YouTube or listen wherever you get your podcasts.



In this episode, you’ll learn:

• Why having a diagnosis doesn’t always explain what’s actually driving your symptoms

• How connecting your labs, lifestyle data, and health history can reveal patterns you might otherwise miss

• What it looks like to move from reactive care to proactive, personalized health

• How better context can help you make clearer decisions about food, sleep, movement, and recovery

Health isn’t built in a doctor’s office. When you create the right environment, the body often knows what to do—and understanding your own biology is one of the most powerful steps you can take toward creating health, not just reacting to disease.

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(0:00) Introduction 
(1:27) Dr. Hyman on the revolutionary potential of ChatGPT Health and the complexity of the body
(3:29) Fidji Simo's health journey, challenges in chronic illness, and health system shortcomings
(7:42) The role of AI in health care: Empowerment, personalized medicine, and practical applications
(20:24) OpenAI's focus on health applications and preventative health with CHATGPT
(23:16) True prevention, creating health, and nutrition action through partnerships
(29:08) Cultural differences in food, health, and empowering consumers with AI
(33:44) AI's role in drug discovery, curing diseases, and democratizing health information
(43:12) Chronicle Bio's mission and impact
(52:27) Challenges and opportunities at the intersection of health and technology
(56:07) Future goals and three key areas of impact for ChatGPT Health
(1:00:52) Food system design and its impact on health
(1:02:00) Closing remarks

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