Article

Integrated Genetic, Molecular, and Wearable Sensor Biomarkers Enable Bayesian Machine Learning-Driven Precision Stratification in Parkinson’s Disease: A Comprehensive Multi-Cohort Validation Study

2025-12-04

Abstract excerpt

We present a Bayesian machine learning framework integrating genetic, molecular, and wearable sensor biomarkers for precision medicine in Parkinson’s disease. Using PPMI (4,775 patients, 14,473 longitudinal records) and LRRK2 Consortium (627 individuals, 2,958 biological specimens), we demonstrate: (1) LRRK2 G2019S confers 1.92-fold PD risk (individual-level χ 2 = 36.6, p = 1.4 × 10 − 9 ; sex-adjusted OR=2.73)...

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Literature Corpus work: f83627aa-c8d2-5139-adc0-f8e031b454c2
DOI: 10.64898/2025.12.02.25340302

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