UConn researcher Jinbo Bi is using machine learning to better understand the genetic basis for substance use disorder.
One of the challenges for researchers studying SUDs is that there might be different underlying mechanisms or pathways that cause someone to become addicted to a certain substance, and the specific neurological and genetic factors that account for heterogeneous clinical manifestation are poorly understood.