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

Radiomics signatures have a recognition effect in the CI progression in early PD. Multi-omics frameworks combining radiomics, cerebrospinal fluid biomarkers, and genetic information may be a potential predictor of CI progression in PD.

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Publication Details

Journal
Neurology and Therapy
Published
2025-02-22
DOI
https://doi.org/10.1007/s40120-025-00716-y
Citations
13
Primary Topic
Parkinson's Disease Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
18.06
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article

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

Yaqin Xiang, Yanmin Hu, Jifeng Guo, Jiabin Liu et al.
13 citations
Neurology and Therapy
Parkinson's Disease Mechanisms and Treatments
18.06
article

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

Yaqin Xiang, Yanmin Hu, Jifeng Guo, Jiabin Liu, Yang Luo
article en
13 citations

Abstract

Radiomics signatures have a recognition effect in the CI progression in early PD. Multi-omics frameworks combining radiomics, cerebrospinal fluid biomarkers, and genetic information may be a potential predictor of CI progression in PD.

Neurology and TherapyVol. 14(2)
Central South University (CN), Changsha Medical University (CN), Xiangya Hospital Central South University (CN)
Openalex Percentile: Top 1%
Parkinson's Disease Mechanisms and Treatments
18.06
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