Prediction of Mechanistic Subtypes of Parkinson’s Using Patient-Derived Stem Cell Models

Prediction of mechanistic subtypes of Parkinson’s using patient-derived stem cell models

Parkinson’s disease is a common, incurable neurodegenerative disorder that is clinically heterogeneous: it is likely that different cellular mechanisms drive the pathology in different individuals. So far it has not been possible to define the cellular mechanism underlying the neurodegenerative disease in life. We generated a machine learning-based model that can simultaneously predict the presence of disease and its primary mechanistic subtype …

Test Predicts Cognitive Decline in Parkinson's Disease

(MedPage Today) -- Kinetic measures of a cerebrospinal fluid (CSF) biomarker test predicted cognitive decline in Parkinson's disease and distinguished it from progressive supranuclear palsy (PSP), an analysis of data from three cohorts showed...

Earwax smell test using AI might help diagnose Parkinson’s: Study

A new method that uses artificial intelligence (AI) to analyze the smell of earwax may help detect Parkinson’s disease, a new study from China reports. This affordable approach could one day be used to screen people for early signs of Parkinson’s, making it easier to catch the disease before symptoms become severe, according to the researchers. “Further enhancements to the diagnostic model could pave the way for a promising new PD [Parkinson’s d…