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 ...

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 ...

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 ...

With the introduction of adaptive deep brain stimulation (aDBS) for Parkinson's disease, new questions emerge regarding who, why, and how to treat. This paper outlines the pathophysiological rationale ...

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 ...

Within five years, the researchers believe blood tests for early diagnosis of Parkinson’s disease could begin to be tested in healthcare settings. Over the longer term, the findings may also support ...

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 technique that uses videos and machine learning to quantify motor symptoms in early-stage Parkinson’s disease could help reveal signs of the disease and other movement disorders earlier, which could ...