Algorithms that can detect subtle changes in a person’s voice are emerging as a potential new diagnostic tool for Parkinson’s disease, according to researchers from Iraq and Australia. Speech ...

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 ...

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 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 ...

Sensor data from wearable devices analyzed over five years reveals walking and posture differences that predict fall risk in Parkinson’s patients. Study: Predicting future fallers in Parkinson’s ...