SENTINEL: A signal-driven continuous-care approach to detecting, mapping and mitigating health risk factors of depression and suicide in young adults
This project aims to develop a scalable, multimodal platform that combines neural, physiological, behavioral, and ecological data with advanced machine learning to detect early signs of mental health and suicide risk, enabling proactive, precision-based interventions and continued longitudinal follow up.