ArticleCPT: pharmacometrics & systems pharmacology2023
Bayesian PBPK modeling using R/Stan/Torsten and Julia/SciML/Turing.Jl.
Article in CPT: pharmacometrics & systems pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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
7 citing papers in PubMed.
- Best Practices in Physiologically Based Pharmacokinetic (PBPK) Modeling.CPT: pharmacometrics & systems pharmacology · 2026Review
- Muscle mass correlates with rocuronium distribution volume and guides dose optimization in obese colorectal cancer patients.World journal of gastrointestinal oncology · 2026Article
- Revisiting Acyclovir Dosing for Adult Viral Encephalitis Using a Full Bayesian LeiCNS PBPK Modeling Approach.Clinical pharmacokinetics · 2025Article
- Computational Nuclear Oncology Toward Precision Radiopharmaceutical Therapies: Current Tools, Techniques, and Uncharted Territories.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025Review
- Bayesian inference informed by parameter subset selection for a minimal PBPK brain model.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Article
- Implementing a Bayesian approach using Stan with Torsten: Population pharmacokinetics analysis of somatrogon.CPT: pharmacometrics & systems pharmacology · 2025Article
- Bayesian PBPK modeling using R/Stan/Torsten and Julia/SciML/Turing.Jl.CPT: pharmacometrics & systems pharmacology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Physiologically-based pharmacokinetic (PBPK) models are mechanistic models that are built based on an investigator's prior knowledge of the in vivo system of interest. Bayesian inference incorporates an investigator's prior knowledge of parameters while using the data to update this knowledge. As such, Bayesian tools are well-suited to infer PBPK model parameters using the strong prior knowledge available while quantifying the uncertainty on these parameters. This tutorial demonstrates a full population Bayesian PBPK analysis framework using R/Stan/Torsten and Julia/SciML/Turing.jl.
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What OpenQuestion holds
Registered trials
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.