Using machine learning to analyze video recordings of individuals performing simple movements, researchers developed a method to automaticaly quanitfy motor systems in early-stage Parkinson's disease ...

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 ...

In a recent IEEE Transactions on Neural Systems and Rehabilitation Engineering study, researchers discuss the development of an automated system using machine learning (ML) algorithms that can ...

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 ...

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 ...

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 ...

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 ...