Exploring the association between circadian rhythms and osteoporosis: new diagnostic and therapeutic targets identified via machine learning
BackgroundOsteoporosis (OP) is a systemic metabolic bone disease that may increase the risk of disability or death. Increasing evidence suggests that circadian rhythms play an important role in OP, yet the specific mechanisms remain unclear. Therefore, this study aims to utilize bioinformatics and m...
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| Autori principali: | , , , , , |
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| Natura: | Articolo |
| Lingua: | inglese |
| Pubblicazione: |
Frontiers Media S.A.
2025-06-01
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| Serie: | Frontiers in Molecular Biosciences |
| Soggetti: | |
| Accesso online: | https://www.frontiersin.org/articles/10.3389/fmolb.2025.1614221/full |
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