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 ...

The pipeline illustrates how EEG signals are processed for Parkinson's disease detection. Key features are extracted from brainwave data and transformed into images or movie representations. These are ...

Researchers explore the use of smartphones coupled with clinical scores to evaluate motor function and predict dopamine ...

A machine learning model differentiated Parkinson's disease, multiple system atrophy, and progressive supranuclear palsy. AUROCs and predictive values for distinguishing Parkinson's from mimics were ...

Researchers have identify a set of biomarkers that could someday make it easy to spot the disease in a patient's blood sample. Parkinson's disease is best known for its effects on the central nervous ...

An international study has found that wearable technology could help detect Parkinson's disease (PD) up to nine years before ...

In a major step forward for Parkinson’s care, researchers have used machine learning and UK Biobank data to predict who is most at risk of developing Parkinson’s disease dementia (PDD), highlighting ...

ST. PAUL, Minn., April 11 (UPI) --Israeli researchers said Friday they have developed a simple, "revolutionary" blood test that for the first time would allow doctors to detect the onset of ...