A new Google AI tool identifies key biomarkers from wearable sensor data to streamline clinical trials. The system filters noisy health metrics to isolate signals that predict disease progression. This reduces the manual effort required for data curation. Researchers can now accelerate candidate selection for digital health studies using these automated prioritization workflows.