A new Google AI tool automates the identification of key biomarkers from wearable sensor data. It filters noisy signals to isolate indicators of specific health conditions. This reduces manual data labeling for medical researchers. Practitioners can now accelerate the discovery of digital biomarkers without processing massive, unstructured datasets manually. The tool streamlines clinical trial design.