Machine learning links major dimensions of mental illness in youth to abnormalities of brain networks
A new study, led by psychiatry assistant professor Theodore D. Satterthwaite, utilized machine learning to identify brain-based dimensions of mental health disorders, an advance towards much-needed biomarkers to more accurately diagnose and treat patients.
FULL STORY AT Penn Medicine News →