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Open Source Pharmacokinetic/Pharmacodynamic Framework: Tutorial on the BioGears Engine

BioGears is an open‐source, lumped parameter, full‐body human physiology engine. Its purpose is to provide realistic and comprehensive simulations for medical training, research, and education. BioGears incorporates a physiologically based pharmacokinetic/pharmacodynamic (PK/PD) model that is design...

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Detalles Bibliográficos
Autores principales: McDaniel, Matthew, Carter, Jennifer, Keller, Jonathan M, White, Steven A., Baird, Austin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6363067/
https://www.ncbi.nlm.nih.gov/pubmed/30411537
http://dx.doi.org/10.1002/psp4.12371
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author McDaniel, Matthew
Carter, Jennifer
Keller, Jonathan M
White, Steven A.
Baird, Austin
author_facet McDaniel, Matthew
Carter, Jennifer
Keller, Jonathan M
White, Steven A.
Baird, Austin
author_sort McDaniel, Matthew
collection PubMed
description BioGears is an open‐source, lumped parameter, full‐body human physiology engine. Its purpose is to provide realistic and comprehensive simulations for medical training, research, and education. BioGears incorporates a physiologically based pharmacokinetic/pharmacodynamic (PK/PD) model that is designed to be applicable to a diversity of drug classes and patients and is extensible to future drugs. In addition, BioGears also supports drug interactions with various patient insults and interventions allowing for a realistic research framework and accurate dose‐patient responses. This tutorial will demonstrate how the generic BioGears PK/PD model can be extended to a new substance for prediction of drug administration outcomes.
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spelling pubmed-63630672019-02-14 Open Source Pharmacokinetic/Pharmacodynamic Framework: Tutorial on the BioGears Engine McDaniel, Matthew Carter, Jennifer Keller, Jonathan M White, Steven A. Baird, Austin CPT Pharmacometrics Syst Pharmacol Tutorial BioGears is an open‐source, lumped parameter, full‐body human physiology engine. Its purpose is to provide realistic and comprehensive simulations for medical training, research, and education. BioGears incorporates a physiologically based pharmacokinetic/pharmacodynamic (PK/PD) model that is designed to be applicable to a diversity of drug classes and patients and is extensible to future drugs. In addition, BioGears also supports drug interactions with various patient insults and interventions allowing for a realistic research framework and accurate dose‐patient responses. This tutorial will demonstrate how the generic BioGears PK/PD model can be extended to a new substance for prediction of drug administration outcomes. John Wiley and Sons Inc. 2019-01-20 2019-01 /pmc/articles/PMC6363067/ /pubmed/30411537 http://dx.doi.org/10.1002/psp4.12371 Text en © 2018 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of the American Society for Clinical Pharmacology and Therapeutics. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Tutorial
McDaniel, Matthew
Carter, Jennifer
Keller, Jonathan M
White, Steven A.
Baird, Austin
Open Source Pharmacokinetic/Pharmacodynamic Framework: Tutorial on the BioGears Engine
title Open Source Pharmacokinetic/Pharmacodynamic Framework: Tutorial on the BioGears Engine
title_full Open Source Pharmacokinetic/Pharmacodynamic Framework: Tutorial on the BioGears Engine
title_fullStr Open Source Pharmacokinetic/Pharmacodynamic Framework: Tutorial on the BioGears Engine
title_full_unstemmed Open Source Pharmacokinetic/Pharmacodynamic Framework: Tutorial on the BioGears Engine
title_short Open Source Pharmacokinetic/Pharmacodynamic Framework: Tutorial on the BioGears Engine
title_sort open source pharmacokinetic/pharmacodynamic framework: tutorial on the biogears engine
topic Tutorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6363067/
https://www.ncbi.nlm.nih.gov/pubmed/30411537
http://dx.doi.org/10.1002/psp4.12371
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