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12 results for “justinwilkins”
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@justinwilkins As for general #Pmx applications, were you aware of Vijay Ivaturi's https://pumas.ai/ ?
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@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
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Just blew altogether too much money on a #Behringer #RD8 Mk2 (a #TR808 clone) for no other reason than I always wanted one.
Hope I end up using it 🙃
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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.
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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.
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The best thing about being a #Pharmacometrician (IMHO) is that you never stop learning, and every job is different. Right now I work a lot in #Immunooncology, the use of monocolonal antibodies (#mAbs) for treating #Cancer. mAbs have their own interesting set of complexities. (Well, they're interesting after we've figured them out. Before that that they're just maddening.)
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Later on in drug development, as we get close to registration, we can use these models to identify #Covariates whcih might inform differences in exposure and effect between patients (like age, weight, and sex), and to quantify the relationships between dose, exposure, and response for efficacy (e.g. how well the drug does at reducing or eliminating a tumour) and safety (e.g. how many unwanted side effects the drug generates at a useful dose).
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We can use #Pharmacometric models like these to #Simulate clinical trials, dose regimens and so on, in silico, so that we can predict what will happen when we actually give a drug to a human, and whether the design we have proposed for our clinical trial will actually work when we run it.
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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
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We build these using data collected from clinical trials (e.g. blood samples, clinical observations, scores, X-rays and suchlike - multiple samples, over time, from many subjects), which we use to build compartmental models which approximate what is happening over time using ordinary differential equations (#ODEs).
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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.
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Imagine, Fifth Season Team On Feature Docu Slate; Ron Howard Helms Pic On Photog Richard Avedon, Lawrence Kasdan Directs One On Martin Short
#News #FifthSeason #ImagineEntertainment #JustinWilkes #LawrenceKasdan #MartinShort #RichardAvedon