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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
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
Enhanced Publication- “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
Revised:2025-06-28 ,
Accepted:03 July 2025
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Related Author
YANG Haoruo
XIAO Xue
LI Jiaqi
ZHANG Ningxin
YANG Bin
SONG Ping
WU Zhong
WU Bin
Related Institution
Tianjin University of Traditional Chinese Medicine
Xiyuan Hospital, China Academy of Chinese Medical Sciences
School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University
Clinical Medical College, Guizhou Medical University
Affiliated Hospital of Guizhou Medical University


