A Multi-omics Framework Based on Machine Learning as a Predictor of Cognitive Impairment Progression in Early Parkinson’s Disease

A Multi-omics Framework Based on Machine Learning as a Predictor of Cognitive Impairment Progression in Early Parkinson’s Disease

Abstract Introduction Cognitive impairment (CI) is a common non-motor symptom of Parkinson's disease (PD). However, the diagnosis and prediction of CI progression in PD remain challenging. We aimed to explore a multi-omics framework based on machine learning integrating comprehensive radiomics,...

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Bibliographic Details
Main Authors: Yang Luo, YaQin Xiang, JiaBin Liu, YuXuan Hu, JiFeng Guo
Format: Article
Language:English
Published: Adis, Springer Healthcare 2025-02-01
Series:Neurology and Therapy
Subjects:
Parkinson’s disease
Cognitive impairment
Machine learning
Magnetic resonance imaging
Cerebrospinal fluid
Whole genome sequencing
Online Access:https://doi.org/10.1007/s40120-025-00716-y
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https://doi.org/10.1007/s40120-025-00716-y

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