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. Researchers can now isolate specific health indicators faster. This incremental improvement streamlines the pipeline between consumer hardware and medical research.