A new Google AI framework identifies key biomarkers from wearable sensor data to streamline clinical trials. The tool filters noisy biometric signals to isolate high-impact health indicators. This reduces the manual effort required for data curation. Researchers can now accelerate candidate selection for digital health studies without processing thousands of redundant data points.