AIGoogle Researchabout 1 hour ago
AI Framework Prioritizes Wearable Biomarker Candidates
1 min read
The Biomarker Discovery Framework, a multi-agent AI system, prioritizes biomarker candidates from wearable sensor data using hypothesis generation, statistical analysis, and literature-grounded reasoning. Across three cohorts totaling 9,279 participant-observations, it identified 41 mental health and 25 metabolic biomarkers, improving downstream prediction when combined with demographic features.
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