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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Bibliographic Details

Published in:	European Journal of Medical Research
Main Authors:	Min Xiang, Qingping Peng, Feifei Dai, Yanjiao Wu, Ling Liu, Huan Liu
Format:	Article
Language:	English
Published:	BMC 2025-09-01
Subjects:	Intervertebral disc degeneration Cellular senescence Biomarkers Nucleus pulposus Machine learning TAF13
Online Access:	https://doi.org/10.1186/s40001-025-03102-4