ArticleCPT: pharmacometrics & systems pharmacology2024
A fully automatic tool for development of population pharmacokinetic models.
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 10 papers.
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Who cites it
10 citing papers in PubMed.
- Using Stochastic Simulation-Estimation and Automated Model Development to Assess Power and Accuracy for Covariate Identification.CPT: pharmacometrics & systems pharmacology · 2026Article
- Application of Population-Based Meta-Heuristic Algorithms for Robust Initialization in Mechanistic Pharmacometric Modeling.CPT: pharmacometrics & systems pharmacology · 2026Article
- Context Engineering for AI-Assisted Pharmacometrics: A Practical Tutorial.CPT: pharmacometrics & systems pharmacology · 2026Article
- Automated Pharmacometric Model Development by Leveraging Low-Dimensional Neural ODEs and LASSO Regression.CPT: pharmacometrics & systems pharmacology · 2026Article
- PKGPT: Expert-Orchestrated Recursive LLM Agent for Automated NONMEM PopPK Modeling with Human Benchmarking.Pharmaceutics · 2026Article
- Innovative applications of artificial intelligence technology in pharmacometrics.European journal of clinical pharmacology · 2026Review
- An automated pipeline to generate initial estimates for population Pharmacokinetic base models.Journal of pharmacokinetics and pharmacodynamics · 2025Article
- A Multiple Imputation Workflow for Handling Missing Covariate Data in Pharmacometrics Modeling.CPT: pharmacometrics & systems pharmacology · 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
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Authors and funding
12 authors.
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Abstract
Population pharmacokinetic (PK) models are widely used to inform drug development by pharmaceutical companies and facilitate drug evaluation by regulatory agencies. Developing a population PK model is a multi-step, challenging, and time-consuming process involving iterative manual model fitting and evaluation. A tool for fully automatic model development (AMD) of common population PK models is presented here. The AMD tool is implemented in Pharmpy, a versatile open-source library for pharmacometrics. It consists of different modules responsible for developing the different components of population PK models, including the structural model, the inter-individual variability (IIV) model, the inter-occasional variability (IOV) model, the residual unexplained variability (RUV) model, the covariate model, and the allometry model. The AMD tool was evaluated using 10 real PK datasets involving the structural, IIV, and RUV modules in three sequences. The different sequences yielded generally consistent structural models; however, there were variations in the results of the IIV and RUV models. The final models of the AMD tool showed lower Bayesian Information Criterion (BIC) values and similar visual predictive check plots compared with the available published models, indicating reasonable quality, in addition to reasonable run time. A similar conclusion was also drawn in a simulation study. The developed AMD tool serves as a promising tool for fast and fully automatic population PK model building with the potential to facilitate the use of modeling and simulation in drug development.
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