ArticleClinical pharmacokinetics2023
Use of Machine Learning for Dosage Individualization of Vancomycin in Neonates.
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Article in Clinical pharmacokinetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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19citing papers in PubMed
5.6field-weighted citation impact, top 3% of its field
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed, 29 citations in OpenAlex.
- Narrow Therapeutic Index Drugs: Regulatory Frameworks, Bioequivalence, and Model-Informed Precision Dosing.Pharmaceutics · 2026Review
- Raltegravir Plasma Exposure: A Machine Learning-Based Model for its Prediction Using Limited Sampling Strategy.The AAPS journal · 2026Article
- The application of machine learning in the evaluation of urinary tract infections incidence in patients in a Nursing and Treatment Facility.Pharmacological reports : PR · 2026Article
- Artificial Intelligence and Predictive Modelling for Precision Dosing of Immunosuppressants in Kidney Transplantation.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Beyond Algorithms: Machine Learning and Clinical Determinants of Voriconazole Plasma Levels in Therapeutic Drug Monitoring.European journal of drug metabolism and pharmacokinetics · 2026Article
- Toward adaptive therapeutic timing: integration of mechanistic pharmacology and artificial intelligence in precision dosing.Frontiers in pharmacology · 2026Review
- Methodological Techniques Used in Machine Learning to Support Individualized Drug Dosing Regimens Based on Pharmacokinetic Data: A Scoping Review.Clinical pharmacokinetics · 2025Article
- Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study.Journal of medical Internet research · 2025Article
- Leveraging machine learning in limited sampling strategies for efficient estimation of the area under the curve in pharmacokinetic analysis: a review.European journal of clinical pharmacology · 2025Review
- Prediction Trough Concentrations of Valproic Acid Among Chinese Adult Patients with Epilepsy Using Machine Learning Techniques.Pharmaceutical research · 2025Article
- Artificial Intelligence and Machine Learning Applications to Pharmacokinetic Modeling and Dose Prediction of Antibiotics: A Scoping Review.Antibiotics (Basel, Switzerland) · 2024Article
- Optimizing vancomycin dosing in pediatrics: a machine learning approach to predict trough concentrations in children under four years of age.International journal of clinical pharmacy · 2024Observational
- Dose Individualisation of Antimicrobials from a Pharmacometric Standpoint: The Current Landscape.Drugs · 2024Review
- Optimal use of β-lactams in neonates: machine learning-based clinical decision support system.EBioMedicine · 2024Article
- Machine Learning: A Potential Therapeutic Tool to Facilitate Neonatal Therapeutic Decision Making.Paediatric drugs · 2024Review
- A machine learning approach to predict daptomycin exposure from two concentrations based on Monte Carlo simulations.Antimicrobial agents and chemotherapy · 2024Article
- Monitoring of the trough concentration of valproic acid in pediatric epilepsy patients: a machine learning-based ensemble model.Frontiers in pharmacology · 2024Article
- Application of machine learning combined with population pharmacokinetics to improve individual prediction of vancomycin clearance in simulated adult patients.Frontiers in pharmacology · 2024Article
- Editorial: Model-based evaluation of antimicrobial agents in children-volume II.Frontiers in pharmacology · 2023Article
Corrections and comments
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Authors and funding
24 authors at 14 institutions in 11 countries.
Bo-Hao TangDepartment of Clinical Pharmacy, Key Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China.
Jin-Yuan ZhangBeijing Medicinovo Technology Co. Ltd., Beijing, China.
Karel AllegaertDepartment of Development and Regeneration, KU Leuven, Leuven, Belgium.
Guo-Xiang HaoDepartment of Clinical Pharmacy, Key Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China.
Bu-Fan YaoDepartment of Clinical Pharmacy, Key Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China.
Stephanie LerouxDepartment of Pediatrics, CHU de Rennes, Rennes, France.
Alison H ThomsonStrathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, UK.
Ze YuBeijing Medicinovo Technology Co. Ltd., Beijing, China.
Fei GaoBeijing Medicinovo Technology Co. Ltd., Beijing, China.
Yi ZhengDepartment of Clinical Pharmacy, Key Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China.
Yue ZhouDepartment of Clinical Pharmacy, Key Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China.
Edmund V CapparelliPediatric Pharmacology and Drug Discovery, University of California, San Diego, CA, USA.
Valerie BiranNeonatal Intensive Care Unit, Hospital Robert Debre, Paris, France.
Nicolas SimonService de Pharmacologie Clinique, CAP-TV, Aix Marseille Univ, APHM, INSERM, IRD, SESSTIM, Hop Sainte Marguerite, Marseille, France.
Bernd MeibohmDepartment of Pharmaceutical Sciences, University of Tennessee Health Science Center, Memphis, TN, USA.
Yoke-Lin LoDepartment of Pharmacy, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Remedios MarquesDepartment of Pharmacy Services, La Fe Hospital, Valencia, Spain.
Jose-Esteban PerisDepartment of Pharmacy and Pharmaceutical Technology, University of Valencia, Valencia, Spain.
Irja LutsarInstitute of Medical Microbiology, University of Tartu, Tartu, Estonia.
Jumpei SaitoDepartment of Pharmacy, National Children's Hospital National Center for Child Health and Development, Tokyo, Japan.
Evelyne Jacqz-AigrainDepartment of Pediatric Pharmacology and Pharmacogenetics, Hospital Robert Debre, APHP, Paris, France.
John van den AnkerDivision of Clinical Pharmacology, Children's National Hospital, Washington, DC, USA.
Yue-E Wu *Department of Clinical Pharmacy, Key Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China.
Wei Zhao *Department of Clinical Pharmacy, Key Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China. zhao4wei2@hotmail.com.ORCID http://orcid.org/0000-0002-1830-338X
Shandong University · CNCentre Hospitalier Universitaire de Rennes · FRChildren's National · USDélégation Paris 7 · FRErasmus MC · NLHôpital Robert-Debré · FRInserm · FRNational Center For Child Health and Development · JPUniversitat de València · ESUniversity of California San Diego · USUniversity of Malaya · MYUniversity of Strathclyde · GBUniversity of Tartu · EEUniversity of Tennessee Health Science Center · US
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectiveHigh variability in vancomycin exposure in neonates requires advanced individualized dosing regimens. Achieving steady-state trough concentration (C
methodsC
resultsBefore starting treatment, C
conclusionC
Indexed as
Drug MonitoringVancomycinAnti-Bacterial AgentsArea Under CurveBayes TheoremHumansInfant, NewbornRetrospective StudiesAnti-Bacterial AgentsVancomycin
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.