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Machine learning-enabled identification of nucleus pulposus senescence-associated genes as potential biomarkers for intervertebral disc degeneration

Abstract Background Intervertebral disc degeneration (IVDD) has risen to become a global health problem, and its mechanisms are not well understood. The aim of this study was to use machine learning methods to identify key medullary senescence genes associated with IVDD and to further screen for pot...

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Autors principals: Min Xiang, Qingping Peng, Feifei Dai, Yanjiao Wu, Ling Liu, Huan Liu
Format: Artigo
Idioma:Inglês
Publicat: BMC 2025-09-01
Col·lecció:European Journal of Medical Research
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Accés en línia:https://doi.org/10.1186/s40001-025-03102-4
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