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A groundbreaking study led by Professor Chrystalina Antoniades and her team at the University of Oxford’s Nuffield Department of Clinical Neurosciences has unveiled the potential to meticulously track the progression of Parkinson’s disease utilizing machine learning algorithms. The study involved implementing wearable sensor devices on the trunk, wrists, and feet of Parkinson’s patients and using machine learning algorithms to analyze the data from these sensors. This research pivotally answers the call for objective, standardized tools that can facilitate accurate tracking of Parkinson’s disease, and has implications for clinical trials and drug development.
