Personal Risk and Durability Profiles for Accelerated PTSD Treatment: Multimodal Prediction Algorithms for Veterans
This project will develop tools to predict which veterans with PTSD are most likely to have lasting improvement after accelerated treatment, who may be at higher risk for side effects, and which treatment approach may work best for each person. Using interviews, wearable devices, brain activity measures, and other clinical data, the study aims to create practical tools to support more personalized and durable mental health care. Data collected under this award will be deidentified and housed in the ARPA-H EVIDENT Data Repository.