Exploring the association between circadian rhythms and osteoporosis: new diagnostic and therapeutic targets identified via machine learning

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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Bibliographic Details
Main Authors: Jian Du, Tian Zhou, Ran Meng, Wei Zhang, Jin Zhou, Wei Peng
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Molecular Biosciences
Subjects:
osteoporosis
circadian rhythm
machine learning
key genes
diagnostic model
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2025.1614221/full
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https://www.frontiersin.org/articles/10.3389/fmolb.2025.1614221/full

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