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

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

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 ...

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 ...

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 ...

Algorithms that can detect subtle changes in a person’s voice are emerging as a potential new diagnostic tool for Parkinson’s disease, according to researchers from Iraq and Australia. Speech ...

Sensor data from wearable devices analyzed over five years reveals walking and posture differences that predict fall risk in Parkinson’s patients. Study: Predicting future fallers in Parkinson’s ...

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 ...

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 ...