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Story summary
- Smartwatch data can identify early signs of type 2 diabetes by detecting insulin resistance with 88% accuracy.
- The model analyzes heart rate, sleep, and activity patterns alongside routine health data.
- Clinical data remain crucial, but smartwatch metrics enhance predictive capabilities.
- Experts believe this approach could enable widespread screening for metabolic diseases and prompt timely lifestyle interventions.
