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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Bibliografische gegevens

Hoofdauteurs:	Min Xiang, Qingping Peng, Feifei Dai, Yanjiao Wu, Ling Liu, Huan Liu
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	BMC 2025-09-01
Reeks:	European Journal of Medical Research
Onderwerpen:	Intervertebral disc degeneration Cellular senescence Biomarkers Nucleus pulposus Machine learning TAF13
Online toegang:	https://doi.org/10.1186/s40001-025-03102-4
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