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Related Concept Videos

Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
Clearance Models: Physiological Models01:09

Clearance Models: Physiological Models

Drug clearance is a critical pharmacokinetic process involving the irreversible removal of drugs from the body through various organs over a specified time period. Physiological models are indispensable in determining organ-specific clearance, defined by the proportion of the drug eliminated per unit of time from the organ's blood volume.
The organ's clearance rate depends on the blood flow to the organ and the extraction ratio (E). The extraction ratio describes the organ's proficiency in drug...
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal assumptions,...
Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...

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Related Experiment Video

Updated: Jun 23, 2026

Modeling Breast Cancer in Human Breast Tissue using a Microphysiological System
10:51

Modeling Breast Cancer in Human Breast Tissue using a Microphysiological System

Published on: April 23, 2021

A physiome standards-based model publication paradigm.

David P Nickerson1, Martin L Buist

  • 1Division of Bioengineering, National University of Singapore, Singapore 117574, Republic of Singapore.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|April 22, 2009
PubMed
Summary
This summary is machine-generated.

Scientific models can now be published as interactive, working code, enhancing reproducibility and collaboration. This shift moves beyond traditional text descriptions to executable implementations for physiome research.

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Reproducibility and Harmonization in Research Using Biological Standards: The Example of Platelet Agonist Collagen-Related Peptide
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Reproducibility and Harmonization in Research Using Biological Standards: The Example of Platelet Agonist Collagen-Related Peptide

Published on: August 4, 2023

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Last Updated: Jun 23, 2026

Modeling Breast Cancer in Human Breast Tissue using a Microphysiological System
10:51

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Published on: April 23, 2021

Reproducibility and Harmonization in Research Using Biological Standards: The Example of Platelet Agonist Collagen-Related Peptide
04:50

Reproducibility and Harmonization in Research Using Biological Standards: The Example of Platelet Agonist Collagen-Related Peptide

Published on: August 4, 2023

Area of Science:

  • Computational Biology
  • Scientific Publishing
  • Physiomics

Background:

  • The traditional publication of scientific models relies heavily on textual descriptions.
  • Widespread internet access and advanced web browsers enable new publication paradigms.

Purpose of the Study:

  • To review recent developments in scientific model publication.
  • To outline a new paradigm for publishing physiome-style models as working implementations.

Main Methods:

  • Focus on technologies like CellML and Systems Biology Markup Language (SBML) for encoding models.
  • Reviewing the current state of the art in computational model publication.

Main Results:

  • A new paradigm for model publication is emerging, moving beyond static descriptions.
  • Initial successes have been seen in publishing mathematical models of cellular electrophysiology.

Conclusions:

  • The future of scientific model publication involves submitting interactive, encoded models.
  • Further development is needed to make this new model publication paradigm commonplace.