AI-Driven Blood Test Predicts Parkinson's Up to Seven Years Early

New research leverages blood biomarkers and machine learning to identify potential Parkinson's patients well before symptoms appear.

The test analyzes eight blood-based biomarkers linked to Parkinson's disease.
Initial trials showed 100% accuracy in diagnosing patients with confirmed Parkinson's.
The test predicted Parkinson's in 79% of patients with REM sleep behavior disorder.
Early detection could enable treatments to slow or prevent disease progression.
Researchers aim to develop a simpler version requiring just a drop of blood.