In an international study at 17 MRI centers in the U.S., Austria, and Germany, a research team led by UF’s David Vaillancourt, Ph.D., used a non-invasive MRI method with 1,002 patients to develop an automated system to accurately diagnose Parkinson’s disease and related but different neurodegenerative disorders. In the study published Aug. 27 in The … Continue reading Non-Invasive, Automated MRI for Parkinson’s Diagnosis