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Tag: PK

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

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 …

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 …

Tutorials

Creating a simple pharmacometric Shiny application with mrgsolve in R – Part 2

Shiny applications are a great way to show your complicated models in an interactive way. In recent years, many different examples have been published online showcasing a wide range of …

Tutorials

Creating a simple pharmacometric Shiny application with mrgsolve in R – Part 1

This two part series will show you how to create a simple pharmacometric Shiny application using the mrgsolve package in R. I think that Shiny applications are the most promising way …

Recent posts:

  • 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…?
  • 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
  • How (not) to report pharmacokinetic data
  • Inter-individual and/or inter-occasion variability: what can we quantify in our models and what is the impact on simulations
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