New Health Data Unlocks Progress
Article excerpt
By John Werner, Contributor. AI is revolutionizing health assessment, transforming wearable trackers into powerful diagnostic tools for complex analysis. Emily Capodilupo, Whoop's Head of Research, detailed how their devices collect vast real-time sleep data from millions globally, yielding unprecedented insights. She highlighted Whoop's innovative approach to pregnancy research, partnering with a high-risk hospital and leveraging aggregated user data to uncover clear vital sign patterns, overcoming traditional study barriers. Capodilupo envisions a future where AI-driven wearables provide daily risk assessments for chronic diseases, enabling proactive, affordable health management. This empowers individuals to understand and modify behavior-related health risks, fostering greater personal agency over their well-being. AI has given humans quite a lot in terms of health assessment capability. It wasn’t too long ago that fitness and health wearable trackers were pretty basic: they could measure heart rate and a few other things, but the data itself was not tied to complex analysis. That’s really no longer the case: as with its use in radiology and elsewhere, AI in wearable health trackers can apply its data to all sorts of amazing in-depth correlations, and insights, making us, in a sense, our own doctors. Just take hypertension, or diabetes … or sleep. We all have to sleep...
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Capodilupo discussed a project that Whoop did with the University of West Virginia, which she characterized as being situated at the corner of a “maternal health desert,” with the challenges that that entails.
