The software also detected the ‘sequence effect’ in both iRBD and Parkinson’s patients—a progressive decline in movement speed and amplitude during repetitive actions. This effect could serve as an ...

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 ...

Lunai Bioworks (RENB) announced advancement of its biomarker discovery preclinical program in Parkinson’s Disease. The initiative leverages BioSymetrics’ proprietary Augusta Platform to unlock novel ...

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 ...

Parkinson's comes on slowly, and diagnosing the often-devastating movement disorder, particularly in its early stages, usually entails having patients perform a variety of mobility tasks, observing ...

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 ...

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 ...

Share on Pinterest Does Parkinson’s disease have different subtypes? Image credit: Olga Sibirskaya/Stocksy. A machine-learning study at Weill Cornell Medicine was able to classify Parkinson’s disease ...

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

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 ...