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 ...

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 ...

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 ...

The Food and Drug Administration is seeking examples of artificial intelligence and machine learning models that can identify and predict freezing of gait events related to Parkinson’s disease.

This pen truly is mightier than the sword. A team of researchers at UCLA has developed a high-tech diagnostic pen that can detect signs of Parkinson’s disease with over 96% accuracy, offering a ...

Study: Microbiome and metabolome integrated analysis: exploring potential diagnostic approaches for Parkinson’s disease using tongue coating samples. Image credit ...

Smartwatches have evolved far beyond their original function of timekeeping and fitness tracking. Today, they are becoming instrumental tools in monitoring our health and detecting early signs of ...

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 ...