Machine Learning Uncovers Parkinson’s Immune Biomarkers
Researchers have used machine learning to identify four key biomarkers for Parkinson’s disease that outperform existing diagnostic models. The findings reveal unexpected connections between immune cell infiltration and neurodegeneration, opening new therapeutic avenues.