A new generative AI framework from Google AI Research identifies key biomarkers within noisy wearable sensor data. The system filters high-dimensional signals to isolate physiological markers linked to specific health outcomes. This reduces manual feature engineering for clinicians. Researchers can now accelerate candidate discovery for digital health diagnostics using automated prioritization.