Researchers have utilized machine learning to define three subtypes of Parkinson’s disease, offering potential diagnostic and treatment insights.
- Researchers at Weill Cornell Medicine have identified three subtypes of Parkinson’s disease based on the pace of disease progression, each marked by distinct driver genes.
- These subtypes, named Inching Pace, Moderate Pace, and Rapid Pace, could potentially serve as diagnostic and prognostic tools, leading to customized treatment strategies for patients.
- The subtypes were identified using deep learning-based approaches on clinical records and further explored for molecular mechanisms associated with each subtype using genetic and transcriptomic profiles.
- The researchers also identified possible drug candidates that could target the specific molecular changes seen in the subtypes, with the diabetes drug metformin showing promise in ameliorating Parkinson’s progression.
- The study findings were validated using real-world patient health databases and collaborative efforts from various institutions, providing valuable insights for future investigation into Parkinson’s disease treatment strategies.
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Neurology