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Summary:
A new Apple-backed AI model, the Wearable Behavior Model (WBM), uses Apple Watch behavioral data (e.g., sleep, movement, activity patterns) to predict health conditions more accurately than traditional sensor-based methods. Trained on data from 160,000 participants and over 2.5 billion hours of data, it excels at detecting both static health states (like medication use) and transient conditions (like respiratory infections or sleep issues), with up to 92% accuracy for pregnancy when combined with biometric data. This shows the potential of Apple Watch to detect hidden health issues through long-term behavioral trends.
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