The Genetics Podcast EP 154: Pioneering early disease detection through wearable devices and regular monitoring with Dr. Mike Snyder
Oct 3, 2024
Dr. Mike Snyder, a pioneer in personalized medicine and Director of the Center for Genomics and Personalized Medicine at Stanford, discusses the revolutionary impact of wearable technologies on early disease detection. He shares insights on how proactive health monitoring can predict illnesses even before symptoms arise. The conversation also highlights the challenges of integrating advanced diagnostics into mainstream healthcare, emphasizing the importance of transitioning from reactive to preventive models, and the promise of AI in improving health outcomes.
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Lyme Disease Detection
- Mike Snyder detected his Lyme disease pre-symptomatically using a smartwatch.
- His heart rate and skin temperature were elevated, and blood oxygen was low.
Resting Heart Rate as Illness Indicator
- Elevated resting heart rate can indicate illness, even pre-symptomatically.
- This discovery led to an algorithm for illness detection, useful for COVID-19.
Undiagnosed Insulin Spikes
- Many undiagnosed individuals experience insulin spikes similar to diabetics.
- These spikes correlate with cardiovascular disease and other serious conditions.