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Author: MJvanEsdonk

Personal blog

Learn about pharmacometrics and clinical pharmacology during your workout

I love to listen to podcasts while I am working out or going for a walk. However, I must admit that some of these podcasts are just a background conversation …

Personal blog / Tutorials

Exploring the Capabilities of ChatGPT: A Step-by-Step Guide to Creating a Pharmacokinetic Analysis Shiny App

With the introduction of ChatGPT I was interested to learn how ChatGPT in pharmacometrics might be applied and how this will impact my code writing tasks, especially for doing pharmacokinetic …

Software

Using R Shiny applications in scientific research – Can you spot a drug effect on blinded pharmacodynamic data…?

Shiny applications are commonly used as a data dashboard, to automate a (data science) workflow, or to easily build a minimum viable product. Shiny is a great tool if you …

Personal blog

Introduction to pharmacometrics and its importance in drug development

Pharmacometrics is a rapidly growing field that combines pharmacology, mathematics, and statistics to optimize drug development and dosing. It is the science of quantifying drug effects in patients and developing …

Software

New shiny applications for PMX simulations!

A range of new shiny applications have been published on this website to visualise pharmacokinetic profiles over time and better understand the use of population models. All applications can be …

Personal blog

Abbreviations and Terminology Used in Population Pharmacokinetics/Pharmacodynamic Models and in Pharmacometrics

This page provides an overview of the abbreviations and terminology commonly used in population PK/PD articles.

Personal blog

Publishing the covariance matrix of population models. Why not?

The information in the covariance matrix Everyone that has worked for longer than a day with NONMEM has a high probability of encountering error messages mentioning the covariance matrix (nonpositive …

Tutorials

Applying MAP Bayes estimation for therapeutic drug monitoring (TDM) in R with mrgsolve

The development of population PK (and PD) models enable the use of individual Bayesian dose optimization. One could use the included covariates to derive the dose of an individual but …

Tutorials

Simulating the equi-dosing regimen region in R using mrgsolve – a bottom-up approach

Acknowledgments The idea for this post was based upon the research by Dr. Lloyd Bridge, presented at the British Pharmacological Society meeting December 2018. and published in October 2020 in …

Personal blog / Tutorials

How (not) to report pharmacokinetic data

The correct reporting of pharmacokinetic data can provide a tremendous amount of information on the clinical pharmacological characteristics of a drug. Small studies with a limited number of plasma samples …

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Recent posts:

  • Learn about pharmacometrics and clinical pharmacology during your workout
  • Exploring the Capabilities of ChatGPT: A Step-by-Step Guide to Creating a Pharmacokinetic Analysis Shiny App
  • Using R Shiny applications in scientific research – Can you spot a drug effect on blinded pharmacodynamic data…?
  • Introduction to pharmacometrics and its importance in drug development
  • New shiny applications for PMX simulations!
  • Abbreviations and Terminology Used in Population Pharmacokinetics/Pharmacodynamic Models and in Pharmacometrics
  • Publishing the covariance matrix of population models. Why not?
  • Parallel fast-slow absorption – Modelling the Tortoise AND the Hare
  • Applying MAP Bayes estimation for therapeutic drug monitoring (TDM) in R with mrgsolve
  • Simulating the equi-dosing regimen region in R using mrgsolve – a bottom-up approach
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