Most treatments for Parkinson’s disease (PD) only slow disease progression. Early intervention for the neurological disease that worsens over time is therefore critical to optimize care, but that ...

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 ...

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 ...

First patient enrolled in the clinical trial as part of the EU-funded VαMPiRE project, aiming to develop a non-invasive diagnostic test for early Parkinson’s disease detection. SYNLAB’s Genetics ...

A longstanding mystery in Parkinson's disease research has been why some individuals carrying pathogenic variants that increase their risk of PD go on to develop the disease, while others who also ...

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 ...

A study published in Neurobiology of Disease explores a potential new method for early detection of Parkinson's disease through retinal responses to light. This research, conducted by a team from ...

Israeli researchers say they have developed a blood test that can accurately tell whether someone might be developing Parkinson’s – even before they have symptoms. “This discovery is a big step ...

A team of researchers at the University of California, San Francisco has developed a data-driven method for optimizing deep brain stimulation (DBS) settings that significantly improved walking ...