To provide more personalized treatment for Parkinson’s Disease based on individuals’ disease state and progression, researchers at the University of California San Francisco (UCSF) developed a video-based analysis system enabled by machine learning (ML), to quantify and validate motor symptom severity in patients with Parkinson’s Disease (PD).
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