This research study introduces a scalable method for detecting insulin resistance (IR) by combining data from consumer wearables with standard blood biomarkers. Using a large cohort, the researchers developed deep neural networks and a specialized wearable foundation model to predict metabolic risk more accurately than traditional demographic assessments. The results demonstrate that integrating h...去小宇宙查看完整单集简介
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