Application of machine learning combined with population pharmacokinetics to improve individual prediction of vancomycin clearance in simulated adult patients

Research article (Frontiers in Pharmacology, 2024) · cited 11× · AI/ML
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Application of machine learning combined with population pharmacokinetics to improve individual prediction of vancomycin clearance in simulated adult patients

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Application of machine learning combined with population pharmacokinetics to improve individual prediction of vancomycin clearance in simulated adult patients is a scholarly article[1].

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  • Application of machine learning combined with population pharmacokinetics to improve individual prediction of vancomycin clearance in simulated adult patients's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Application of machine learning combined with population pharmacokinetics to improve individual prediction of vancomycin clearance in simulated adult patients. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-machine-learning-combined-with-population-pharmacokinetics-to-improve-individual-prediction-of-vancomycin
MLA “Application of machine learning combined with population pharmacokinetics to improve individual prediction of vancomycin clearance in simulated adult patients.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-machine-learning-combined-with-population-pharmacokinetics-to-improve-individual-prediction-of-vancomycin.
BibTeX @misc{4ortxyz_application-of-machine-learning-combined-with-population-pharmacokinetics-to-improve-individual-prediction-of-vancomycin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of machine learning combined with population pharmacokinetics to improve individual prediction of vancomycin clearance in simulated adult patients}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-machine-learning-combined-with-population-pharmacokinetics-to-improve-individual-prediction-of-vancomycin}, note = {Accessed: 2026-05-24}}
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