Published on in Vol 10, No 1 (2022): January
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/29458, first published
.

Journals
- Blouin M, Métras M, El Hassani M, Yaliniz A, Marsot A. Optimization of Vancomycin Initial Dosing Regimen in Neonates Using an Externally Evaluated Population Pharmacokinetic Model. Therapeutic Drug Monitoring 2024;46(6):744 View
- Blouin M, Métras M, Gaudreault C, Dubé M, Boulanger M, Cloutier K, El Hassani M, Yaliniz A, Viel‐Thériault I, Marsot A. External evaluation of neonatal vancomycin population pharmacokinetic models: Moving from first‐order equations to Bayesian‐guided therapeutic monitoring. Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy 2024;44(12):907 View
- Hu T, Ding X, Han F, An Z. Machine learning approach for personalized vancomycin steady-state trough concentration prediction: a superior approach over Bayesian population pharmacokinetic model. Frontiers in Pharmacology 2025;16 View
- El Hassani M, Blouin M, Dong Nguyen V, Duong A, Marsot A. A simulation study to assess the influence of population pharmacokinetic model selection on Bayesian forecasting of vancomycin exposure in preterm neonates. Expert Review of Clinical Pharmacology 2026;19(3):275 View
- Vander Elst Z, Spiessens P, Vanneste D, Dia N, Gijsen M, Spriet I, Allegaert K, Dreesen E, Smits A. Systematic review and scoring‐based selection of pharmacokinetic models for precision dosing of vancomycin in neonates and children. British Journal of Clinical Pharmacology 2026 View
