An AI tool for prioritizing candidate biomarkers from wearable sensor data

Researchers developed the Biomarker Discovery Framework, a multi-agent system that prioritizes candidate biomarkers from wearable sensor data with human oversight. It integrates hypothesis generation, statistical analysis, model training, and literature review to identify reliable physiological biomarkers across large cohorts.