@justinwilkins As for general #Pmx applications, were you aware of Vijay Ivaturi's https://pumas.ai/ ?

@dcnorris This sounds juicy. Care to expand? #JuliaLang has been on the radar a while now but I have yet to see a compelling #Pmx application

Pasca angkat sumpah #PMX dan #England: it’s coming home!

For those interested, there are lots of journals that publish in #PMx, including

- Journal of Pharmacokinetics and Pharmacodynamics (JPKPD)
- Clinical Pharmacology and Therapeutics: Pharmacometrics and Systems Pharmacology (CPT:PSP)
- The AAPS Journal (AAPS J)

The International Society of Pharmacometrics (#ISoP) is the professional scientific association for #PMx. I was a member of its Board of Directors, and it's one of the most fun and rewarding things I've done.

https://www.isop.org

Modeling tools in our area are largely closed-source and massively expensive, and are a gigantic entry barrier for new people, especially in low and middle-income countries (and borderline unaffordable even for CROs like mine). #nlmixr2 is intended to be a solution to this problem. I also maintain the #pmxTools package, which provides a handy set of general #PMx functions.

@nlmixr2

https://www.nlmixr2.org

I promised you #Beer! It's actually a pretty good example. PK describes what happens to the alcohol (ethanol) you consume between the glass and the bathroom, and PD describes what it does while it's circulating in your blood (quite a few things, including making you tipsy). Ethanol is a pretty interesting case, because it's eye-wateringly complex. The #DrinkMe simulation on Nick Holford's website is a fun interactive example of how it fits together! #PMx

http://holford.fmhs.auckland.ac.nz/research/ethanol

Wikipedia defines #Pharmacometrics (#PMx) as a field of study of the methodology and application of #models for disease and pharmacological measurement. It applies mathematical models of #biology, #pharmacology, #disease, and #physiology to describe and quantify interactions between #xenobiotics (drugs) and patients (human and non-human), including both beneficial and adverse effects.