Researchers are using the Stampede supercomputer at the Texas Advanced Computing Center, or TACC, to train a machine learning algorithm that can identify similarities among hundreds of patients using magnetic resonance imaging, or MRI, genomics data, and other factors to predict patients at risk for depression and anxiety.