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 ...

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 new project for the early detection of Parkinson's disease with strongly magnetized xenon gas has been initiated at FMP. The team led by physicist Leif Schröder has received a three-year grant from ...

A new study has revealed promising progress in developing a non-invasive sampling method to detect early signs of Parkinson's disease—up to seven years before motor symptoms appear—by analyzing the ...

Smiling videos can distinguish between people with and without Parkinson's disease, providing an easy, accessible, and cost-effective way to screen for Parkinson's, particularly when access to ...