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 ...

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 ...

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 ...

In a groundbreaking development for neurological care, scientists have unveiled an artificial intelligence-powered blood test that has the potential to detect Parkinson’s disease years before symptoms ...

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 ...

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 ...