More information: Rana M. Khalil et al, Simplification of Mobility Tests and Data Processing to Increase Applicability of Wearable Sensors as Diagnostic Tools for Parkinson's Disease, Sensors (2024).

Researchers have identified a neurochemical signature that sets Parkinson's disease apart from essential tremor - two of the ...

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.

AI techniques primarily use machine learning and deep learning algorithms trained on extensive data sets from simple voice recordings from Parkinson’s patients and healthy controls.

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 ...

Tongue coating analysis reveals potential biomarkers for early Parkinson's disease detection, offering a non-invasive and cost-effective diagnostic approach.

An international team, led by researchers at the Champalimaud Foundation (CF), has shown—for the first time in a realistic way—that it may be possible to diagnose Parkinson's disease (PD ...

Machine learning technology reveals that high speed movements are the first affected behaviors in early stages of Parkinson’s disease. Levodopa repairs the speed—not the structure ...