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Clinical-transcriptomic classification of lumbar disc degeneration enhanced by machine learning
Clinical-transcriptomic classification of lumbar disc degeneration enhanced by machine learning
- “A new study introduces significant research progress in the field of lumbar disc degeneration (LDD). Experts identified four distinct molecular subtypes of LDD using clinical features. This breakthrough could facilitate precise diagnostics and guide personalized treatment strategies for LDD.”
- Military Medical Research Vol. 13, Issue 1, Pages: 58-77(2026)
DOI: 10.1186/s40779-025-00637-9
Accepted:26 July 2025
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Related Author
Yu Wang
Yong-Bo Xiang
Xiao-Wei Chen
Tao Zhang
Jian-Yang Wang
Wen-Yang Liu
Lei Deng
Lu-Hua Wang
Related Institution
Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
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State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College

