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: | , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BMC
2025-09-01
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| Col·lecció: | European Journal of Medical Research |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1186/s40001-025-03102-4 |
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