Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

932
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
932
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis00:59

Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis

404
Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
404
Measurement of Bioavailability: Pharmacodynamic Methods01:20

Measurement of Bioavailability: Pharmacodynamic Methods

963
Pharmacodynamic methods provide insights into a drug's effects on physiological processes over time and play a crucial role in understanding bioavailability and therapeutic efficacy. These methods can be broadly classified into acute pharmacological and therapeutic response approaches, each with distinct mechanisms and applications.The acute pharmacological response method directly correlates a drug's physiological effects, such as ECG or pupil diameter changes, to its time course in the body.
963
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches01:14

Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches

673
Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
673
Introduction to R01:11

Introduction to R

5.3K
R is a powerful software environment for statistical computing and graphics. Originating as an implementation of the S language, developed at Bell Laboratories, R has evolved into a robust, open-source statistical software favored by statisticians and data scientists worldwide. Its comprehensive suite includes data manipulation, calculation, and graphical display capabilities, making it versatile for data analysis and visualization. Its programming language is at the core of R's...
5.3K
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

456
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.
456

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Brain fry: Navigating the cognitive burden of artificial intelligence implementation in healthcare.

The American journal of medicine·2026
Same author

Flow-Xl: a new facility for the analysis of crystallization in flow systems.

Journal of applied crystallography·2024
Same author

Alternatives to zinc oxide in pig production.

Polish journal of veterinary sciences·2023
Same author

Patient-reported outcomes predict survival and adverse events following anticancer treatment initiation in advanced HER2-positive breast cancer.

ESMO open·2022
Same author

Effects of the microencapsulated feed additive of lactic acid bacteria on production parameters and post-vaccinal immune response in pigs.

Polish journal of veterinary sciences·2021
Same author

Clinical Decision Support Tools: The Evolution of a Revolution.

Clinical pharmacology and therapeutics·2016
Same journal

Integrated Population Pharmacokinetic Analysis of Intravitreal Aflibercept Drug Products.

CPT: pharmacometrics & systems pharmacology·2026
Same journal

Development and Use of a Population Pharmacokinetic Model for Characterizing the Pharmacokinetics of Vonoprazan in Pediatric Patients.

CPT: pharmacometrics & systems pharmacology·2026
Same journal

A Narrative Review of Artificial Intelligence for Drug Repurposing: Lessons From COVID-19 and Oncology (2020-2025).

CPT: pharmacometrics & systems pharmacology·2026
Same journal

Butorphanol Pharmacokinetics Across Species: Meta-Analysis Integrating Allometric Scaling and Minimal Physiologically Based Pharmacokinetic Modeling.

CPT: pharmacometrics & systems pharmacology·2026
Same journal

Accelerating Subcutaneous Drug Development: A Mechanistic Absorption Model for the Open Systems Pharmacology Framework.

CPT: pharmacometrics & systems pharmacology·2026
Same journal

Automated Pharmacometric Model Development by Leveraging Low-Dimensional Neural ODEs and LASSO Regression.

CPT: pharmacometrics & systems pharmacology·2026
See all related articles

Related Experiment Video

Updated: Apr 6, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

3.1K

Interactive Pharmacometric Applications Using R and the Shiny Package.

J Wojciechowski1, A M Hopkins1, R N Upton1

  • 1Australian Centre for Pharmacometrics, School of Pharmacy and Medical Sciences, University of South Australia Adelaide, Australia.

CPT: Pharmacometrics & Systems Pharmacology
|July 31, 2015
PubMed
Summary
This summary is machine-generated.

Shiny applications built with R can transform pharmacometric model simulation sharing. This approach enables interactive, customizable interfaces for clear visualization of simulation outputs and population variability.

More Related Videos

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
07:50

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

1.2K
A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

3.8K

Related Experiment Videos

Last Updated: Apr 6, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

3.1K
Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
07:50

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

1.2K
A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

3.8K

Area of Science:

  • Pharmacometrics
  • Computational Biology
  • Data Visualization

Background:

  • Pharmacometric models are crucial for drug development.
  • Sharing and communicating model simulations can be challenging.
  • Interactive tools can enhance understanding and collaboration.

Purpose of the Study:

  • To introduce Shiny applications for pharmacometric model simulations.
  • To demonstrate the potential of Shiny and R for interactive data visualization.
  • To highlight the benefits for sharing and communication of simulation results.

Main Methods:

  • Developing interactive applications using the Shiny framework in R.
  • Customizing user interfaces for input controls and simulation outputs.
  • Integrating R's capabilities for population variability simulations.

Main Results:

  • Shiny applications provide an elegant environment for displaying model simulations.
  • User interfaces allow for dynamic updates of simulation outputs based on input changes.
  • The combination of Shiny and R facilitates effective model visualization.

Conclusions:

  • Interactive Shiny applications can revolutionize pharmacometric model simulation sharing.
  • This approach enhances the communication and accessibility of complex model outputs.
  • Shiny and R offer a powerful platform for visualizing population variability in pharmacometrics.