This project will build and test digital measures of mental health treatment response across a wide range of care settings, from standard treatment to faster-acting approaches such as neuromodulation and ketamine therapy. By analyzing multiple types of health and behavioral data from large retrospective and prospective samples, the study aims to define meaningful signs of rapid improvement and create scalable, real-world tools for measuring treatment response over time. Data collected and analyzed under this award will be deidentified and housed in the ARPA-H EVIDENT Data Repository.