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Identification of Cuproptosis-related Biomarkers in Alzheimer's Disease Based on Bioinformatics and Machine Learning and Clinical Validation and Prediction of Potential Traditional Chinese Medicine
更新时间:2025-09-16
    • Identification of Cuproptosis-related Biomarkers in Alzheimer's Disease Based on Bioinformatics and Machine Learning and Clinical Validation and Prediction of Potential Traditional Chinese Medicine

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    • In the field of Alzheimer's disease research, experts use bioinformatics and machine learning methods to identify copper death related gene biomarkers and predict potential traditional Chinese medicine, providing new ideas for the treatment of Alzheimer's disease with traditional Chinese medicine.
    • Chinese Journal of Experimental Traditional Medical Formulae   Vol. 31, Issue 20, Pages: 160-167(2025)
    • DOI:10.13422/j.cnki.syfjx.20250812    

      CLC: R741;R285;R289
    • Received:06 June 2025

      Revised:2025-06-28

      Accepted:03 July 2025

      Published Online:10 July 2025

      Published:20 October 2025

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  • YU Guofang,ZHAO Chenling,TIAN Liwei,et al.Identification of Cuproptosis-related Biomarkers in Alzheimer's Disease Based on Bioinformatics and Machine Learning and Clinical Validation and Prediction of Potential Traditional Chinese Medicine[J].Chinese Journal of Experimental Traditional Medical Formulae,2025,31(20):160-167. DOI: 10.13422/j.cnki.syfjx.20250812.

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Related Author

YANG Haoruo
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LI Jiaqi
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Related Institution

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