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Exposure prediction and dose optimization of polymyxin B based on bayesian and machine learning.

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Title: Exposure prediction and dose optimization of polymyxin B based on bayesian and machine learning.
Authors: Xu Q; Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China., Li X; Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China., Huang S; Department of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, China., Ding Q; Department of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, China., Li Y; Department of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, China., Yang N; Department of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, China., Deng C; Linking Truth Technology Co., Ltd., Shanghai, China., Tang B; Changsha Kyan Pharmaceutical Technology Co., Ltd., Changsha, China., Yang G; Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China.; Department of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, China.; Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, China.; National-Local Joint Engineering Laboratory of Drug Clinical Evaluation Technology, Changsha, China., Pei Q; Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China.; Department of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, China.
Source: Frontiers in pharmacology [Front Pharmacol] 2026 Jun 26; Vol. 17, pp. 1859709. Date of Electronic Publication: 2026 Jun 26 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media] Country of Publication: Switzerland NLM ID: 101548923 Publication Model: eCollection Cited Medium: Print ISSN: 1663-9812 (Print) Linking ISSN: 16639812 NLM ISO Abbreviation: Front Pharmacol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Exposure prediction and dose optimization of polymyxin B based on bayesian and machine learning.
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  Data: <searchLink fieldCode="AU" term="%22Xu+Q%22">Xu Q</searchLink>; Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China.<br /><searchLink fieldCode="AU" term="%22Li+X%22">Li X</searchLink>; Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China.<br /><searchLink fieldCode="AU" term="%22Huang+S%22">Huang S</searchLink>; Department of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, China.<br /><searchLink fieldCode="AU" term="%22Ding+Q%22">Ding Q</searchLink>; Department of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, China.<br /><searchLink fieldCode="AU" term="%22Li+Y%22">Li Y</searchLink>; Department of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, China.<br /><searchLink fieldCode="AU" term="%22Yang+N%22">Yang N</searchLink>; Department of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, China.<br /><searchLink fieldCode="AU" term="%22Deng+C%22">Deng C</searchLink>; Linking Truth Technology Co., Ltd., Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Tang+B%22">Tang B</searchLink>; Changsha Kyan Pharmaceutical Technology Co., Ltd., Changsha, China.<br /><searchLink fieldCode="AU" term="%22Yang+G%22">Yang G</searchLink>; Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China.; Department of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, China.; Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, China.; National-Local Joint Engineering Laboratory of Drug Clinical Evaluation Technology, Changsha, China.<br /><searchLink fieldCode="AU" term="%22Pei+Q%22">Pei Q</searchLink>; Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China.; Department of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, China.
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        Value: 10.3389/fphar.2026.1859709
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              Text: 2026 Jun 26
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