Progress in developing an AI framework to automatically detect early Parkinson’s disease predictors has been made by researchers at the University of Oxford. Instead of latter stage diagnosis through such symptoms as limb shaking, muscle rigidity and slow movement, the technology looks for rapid eye movement sleep behaviour disorder (RBD). The researchers have noted that RBD is a precursor to the neurodegenerative disorder and believe detection could help with early Parkinson’s diagnosis and insights into its development. Researchers from Oxford University, working on their own project, are also looking at how they can use machine learning techniques to predict whether someone will develop Alzheimer’s disease.
Progress in developing an AI framework to automatically detect early Parkinson’s disease predictors has been made by researchers at the University of Oxford. Instead of latter stage diagnosis through such symptoms as limb shaking, muscle rigidity and slow movement, the technology looks for rapid eye movement sleep behaviour disorder (RBD). The researchers have noted that RBD is a precursor to the neurodegenerative disorder and believe detection could help with early Parkinson’s diagnosis and insights into its development. The team used archived, laboratory-based sleep studies, and plans to continue to investigate how the framework applies in a clinical environment.