UF: Non-invasive, automated MRI for Parkinson’s diagnosis

UF: Non-invasive, automated MRI for Parkinson’s diagnosis

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.

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