Can You Quantify Yourself to Improve Health? with Michael Snyder

Can your smartwatch detect subtle changes before you feel them? Might a continuous glucose monitor pick up on things you didn’t know about yourself? Could a drop of blood map your future health? Why does your personal baseline matter more than a population average? Could AI decode the massive signaling networks of your body? Does seeing your own data change your behavior? Join Eagleman with Michael Snyder, Stanford professor of genetics and a pioneer in massive personal data, to understand what happens when healthcare moves from a snapshot of your body to a movie.

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MySuppleHub

Lab website

Lab studies

Exposures study (recruiting participants)

Genomics and Personalized Medicine: What Everyone Needs to Know

January AI

QBio

Iollo

*This episode discusses emerging approaches to personal health monitoring. The conversation is for general information and does not provide medical advice. Consumer sensors, genetic tests, scans, and AI-generated interpretations have limitations and can produce uncertain or incidental findings. Discuss personal medical decisions with a qualified healthcare professional who understands your history.

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