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 …
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 …
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 …
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 …
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 …
The identification of hysteresis in a PK/PD relationship provides information on a possible delay between the plasma concentration and the effect. The identification of hysteresis can further assist us in …
How certain are we about the parameters that we estimate in our population model? Is that volume of distribution that NONMEM gave us really 10 liters with a clearance of …
When you are starting to learn about the basics of modeling & simulation, or when you are planning to start a new study with an already existing compound, it could …
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 …
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 …
