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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Specially trained dogs, Bumper and Peanut, exhibit remarkable accuracy in detecting Parkinson's disease through skin swabs. Identifying the condition with up to 80% success and ruling out healthy ...