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Revealing the Immunomodulatory Targets and Mechanisms of Sijing Pill for Postmenopausal Osteoporosis: A UHPLC-MS-Based Bioinformatics and Machine Learning Study

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Τίτλος: Revealing the Immunomodulatory Targets and Mechanisms of Sijing Pill for Postmenopausal Osteoporosis: A UHPLC-MS-Based Bioinformatics and Machine Learning Study
Συγγραφείς: Zhu, XiaojuanAff1, Meng, XiantingAff1, Li, YufenAff1, Li, ChenhaoAff1, Zhu, XiujingAff1, Yin, ZixinAff1, Jiang, TaoAff1, IDs12247026104398_cor1, Su, XinAff1, IDs12247026104398_cor2
Πηγή: Journal of Pharmaceutical Innovation: From R&D to Market. 21(3)
Βάση Δεδομένων: Springer Nature Journals
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PubType: Academic Journal
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  Data: <i>Journal of Pharmaceutical Innovation: From R&D to Market</i>. 21(3)
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      – Type: doi
        Value: 10.1007/s12247-026-10439-8
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      – Text: English
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      – TitleFull: Revealing the Immunomodulatory Targets and Mechanisms of Sijing Pill for Postmenopausal Osteoporosis: A UHPLC-MS-Based Bioinformatics and Machine Learning Study
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            NameFull: Zhu, Xiaojuan
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            NameFull: Meng, Xianting
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            NameFull: Li, Yufen
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            NameFull: Li, Chenhao
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            NameFull: Jiang, Tao
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            NameFull: Su, Xin
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            – D: 01
              M: 06
              Type: published
              Y: 2026
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              Value: 21
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            – TitleFull: Journal of Pharmaceutical Innovation: From R&D to Market
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