Leveraging machine learning with real-world data for hypothesis generation by identifying exposomic predictors in Parkinson's disease among farmers

Journal of Parkinson's Disease · Published 2026-08-01 · DOI 10.1177/1877718x261453798

Free full text

Authors (4)

Pascal Petit, François Berger, Vincent Bonneterre, Nicolas Vuillerme

Abstract

PubPorta does not have an abstract for this article yet.

Read the article at the publisher →

Publication details

Year

2026

Citation

Petit, P., Berger, F., Bonneterre, V., et al. (2026). Leveraging machine learning with real-world data for hypothesis generation by identifying exposomic predictors in Parkinson's disease among farmers. Journal of Parkinson's Disease. https://doi.org/10.1177/1877718x261453798

Related articles

• Identifying Drugs Associated With Parkinson's Disease Risk Using Machine Learning · Basic and Clinical Pharmacology and Toxicology · 2026 · Cites or is cited by this article
• XGBoost, A Novel Explainable AI Technique, in the Prediction of Myocardial Infarction: A UK Biobank Cohort Study · Clinical Medicine Insights: Cardiology · 2022 · Cites or is cited by this article
• Celebrating the legacy of two decades of Parkinson's disease research in South Africa · Journal of Parkinson's Disease · 2026 · Same journal
• Practical approaches to inclusive recruitment practices in Parkinson's disease research · Journal of Parkinson's Disease · 2026 · Same journal
• Structural biology of alpha-synuclein amyloid filaments: Implications in synucleinopathies · Journal of Parkinson's Disease · 2026 · Same journal
• Clinical GDNF delivery methods for Parkinson's disease · Journal of Parkinson's Disease · 2026 · Same journal
• Differential effects of levodopa on social cognition in people with Parkinson's disease · Journal of Parkinson's Disease · 2026 · Same journal
• Greater burden of Alzheimer's Co-pathology in women with Parkinson's disease dementia · Journal of Parkinson's Disease · 2026 · Same journal
• Parkinson's disease and the concept of resilience, cognitive, and motor reserve · Journal of Parkinson's Disease · 2026 · Same journal
• Regulatory endorsement for the application of α-synuclein seed amplification assay as a susceptibility and risk biomarker for clinical trials targeting synucleinopathies · Journal of Parkinson's Disease · 2026 · Same journal