On this month’s episode of the WHOOP Podcast Longevity series, WHOOP SVP of Research, Algorithms, and Data Emily Capodilupo sits down with Google Deepmind AI Researcher Vivek Natarajan to explore how large language models are transforming healthcare and biomedical research. Emily and Vivek discuss AI’s potential to both accelerate scientific discovery, such as developing new treatments and understanding diseases, and expand access to care globally by delivering medical guidance more equitably. The episode examines how AI can augment, rather than replace, doctors by improving diagnostics, increasing efficiency, and enabling more personalized care, while highlighting the importance of trust, safety, and human connection as these technologies evolve.

(00:47) Understanding The Intersection of Large Language Models and Biomedicine

(02:26) How To Approach AI in the Healthcare Landscape

(05:52) What Is The Role of the Doctor as AI Becomes More Popular

(09:39) What Does The Future of AI Healthcare Look Like?

(12:51) Clinical Care: Where Can AI Assist?

(16:03) Exploring The Dangers of AI

(18:43) Process of Teaching Physicians and Users To Use AI

(22:22) What Are The Areas of Concern Over AI?

(24:12) Regulation and Pace of Development

(26:51) Gaining and Maintaining Trust While Building AI Algorithms

(30:38) The Impact of AI on Research

(37:44) Biggest Misconception Regarding AI in Healthcare

How AI Is Shaping the Future of Medicine with Vivek Natarajan

WHOOP Podcast

What LLMs Bring to Biomedicine

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