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Chao Li

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Open access Sep 2026

Potential Mechanisms Linking Excessive Testosterone to PMOS: Insights from Network Toxicology and Machine Learning

These findings proposed a computational framework for a multi-target molecular landscape linking testosterone to PMOS and identified genes, regulatory networks, and candidate drugs that provided prioritized hypotheses for mechanistic exploration and future evaluation of potential diagnostic and therapeutic applications...

Chao Li, Zhe Su, Yi-Qian Li et al. · 0 citations

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