Tag: algorithms

A groundbreaking study led by a team of researchers at the University of Oxford has unveiled a new method for accurately tracking the progression of Parkinson's Disease. Using specially trained machine learning algorithms to analyze data collected from sensor devices worn by patients, this research, led by Professor Chrystalina Antoniades in Oxford's Nuffield Department of Clinical Neurosciences, introduces innovative techniques that can complement traditional clinical rating scales. These tools not only enhance the precision of diagnosis but also enable the tracking of disease progression in individuals with Parkinson's Disease.