Youth mental health and psychiatric risk prediction

Many mental health conditions begin in adolescence or sometimes childhood, and early symptoms may signal increased risk for later psychiatric illness. X-Lab studies patterns of symptoms in young people to better understand how mental health problems develop and how risk can be identified earlier. Our work uses data-driven approaches to examine how symptoms interact, to identify high-risk groups, and to detect early warning signs that may cut across traditional diagnoses. Ongoing research also integrates multiple types of data such as clinical assessments, brain imaging, and genomic information and network models to improve prediction of serious mental illness. Our long-term goal is to support earlier identification, prevention, and intervention so that young people have better long-term mental-health outcomes.