In a major step forward for Parkinson’s care, researchers have used machine learning and UK Biobank data to predict who is most at risk of developing Parkinson’s disease dementia (PDD), highlighting ...

A machine learning model differentiated Parkinson's disease, multiple system atrophy, and progressive supranuclear palsy. AUROCs and predictive values for distinguishing Parkinson's from mimics were ...

A study published in Neurobiology of Disease explores a potential new method for early detection of Parkinson's disease through retinal responses to light. This research, conducted by a team from ...

Detecting early rising Parkinson's disease (PD) symptoms could improve treatment outcomes by enabling earlier treatment interventions. In a new eNeuro paper, Daniil Berezhnoi, from Georgetown ...

* AI-powered speech test detects Parkinson's with 85.7 percent accuracy * Voice recordings of two pangrams reveal early signs of neurological changes * Screening can //be done remotely with simple ...