Penn Researcher Awarded $8 Million to Advance Mental Health Diagnostics Using AI

How can artificial intelligence (AI) and machine learning (ML) be used to develop more precise psychiatric phenotypes for mental health care diagnoses and treatment? That goal is what LDI Senior Fellow and Penn Medicine Professor Yong Chen, PhD, will be working on for the next five years in a project that has the potential to revolutionize the way mental health disorders are studied and treated.

“The IMPACT-MH project is highly unique because it seeks to apply precision medicine concepts in the mental health field, where heterogeneity is especially challenging,” said Chen, a Professor of Biostatistics, Epidemiology, and Informatics at the Perelman School of Medicine. “The integration of multimodal data, including behavioral, clinical, and biological information, into computational phenotyping is a groundbreaking approach that promises to revolutionize patient care by making mental health diagnostics and treatment more personalized, precise, and data driven. This level of integration is not yet common in mental health research.”