A new Google AI tool filters noisy wearable sensor data to identify high-priority biomarkers for clinical trials. The system reduces manual data scrubbing by automating the selection of relevant physiological signals. This streamlines how researchers validate digital biomarkers. Practitioners can now accelerate the transition from raw sensor streams to actionable medical insights.