16-protein PD predictive model

1. 16-protein PD predictive model predicts Parkinson's disease in silico (AUC = 0.887).

   “A predictive model using machine learning combined the top 16 proteins and demographics, achieving high accuracy for 5-year (area under the curve (AUC) = 0.887) and over-5-year PD prediction”

   In silico5-year

   Large-scale proteomic analyses of incident Parkinson's disease reveal new pathophysiological insights and potential biomarkers

   Nature aging·Feb 20, 2025

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