A new Google AI framework identifies high-priority biomarkers from wearable sensor data to accelerate clinical trials. The system filters noisy signals to isolate specific physiological indicators of disease. This reduces the manual effort required for data curation. Researchers can now isolate predictive health markers faster, shortening the timeline for validating new digital diagnostics.