ArticleCPT: pharmacometrics & systems pharmacology2024
Simulation-based evaluation of the Pharmpy Automatic Model Development tool for population pharmacokinetic modeling in early clinical drug development.
Article in CPT: pharmacometrics & systems pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Multi-objective optimization in population pharmacokinetic model selection and optimization: application of NSGA-II in pyDarwin.Journal of pharmacokinetics and pharmacodynamics · 2026Article
- An automated pipeline to generate initial estimates for population Pharmacokinetic base models.Journal of pharmacokinetics and pharmacodynamics · 2025Article
- Simulation-based evaluation of the Pharmpy Automatic Model Development tool for population pharmacokinetic modeling in early clinical drug development.CPT: pharmacometrics & systems pharmacology · 2024Article
- A fully automatic tool for development of population pharmacokinetic models.CPT: pharmacometrics & systems pharmacology · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
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Abstract
The Pharmpy Automatic Model Development (AMD) tool automates the building of population pharmacokinetic (popPK) models by utilizing a systematic stepwise process. In this study, the performance of the AMD tool was assessed using simulated datasets. Ten true models mimicking classical popPK models were created. From each true model, dataset replicates were simulated assuming a typical phase I study design-single and multiple ascending doses with/without dichotomous food effect, with rich PK sampling. For every dataset replicate, the AMD tool automatically built an AMD model utilizing NONMEM for parameter estimation. The AMD models were compared to the true and reference models (true model fitted to simulated datasets) based on their model components, predicted population and individual secondary PK parameters (SP) (AUC
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