Clinical Pharmacology Podcast with Nathan Teuscher

Nathan Teuscher

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QSP Modeling with Ahmed Elmokadem (Ep. 51)
In this episode I chat with Ahmed Elmokadem about QSP modeling. Ahmed, from Metrum Research Group, is an expert consultant in QSP modeling and how it can be used to provide a framework to connect mechanistic understanding with clinical pharmacology and decision-making.Links discussed in the show:Connect with Ahmed on LinkedIn on on his websiteAhmed’s book: Numbers that Dazzled the World You can connect with me on ⁠LinkedIn and send me a message⁠⁠Send me a message⁠⁠Sign up for my newsletter⁠
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CDISC datasets and ACoP 2025 (Ep. 50)
In this episode I discuss dataset-JSON, a new proposed data standard for CDISC files and explain some of the CDISC files I use in my clinical pharmacology work. I end with some brief thoughts about the ACoP 2025 meeting in Denver in October 2025.Links discussed in the show:CDISC dataset-JSON CDISC files I use You can connect with me on LinkedIn and send me a message Send me a message Sign up for my newsletter Copyright Teuscher Solutions LLCAll Rights Reserved
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Statistics in Pharmacokinetics (Ep. 49)
In this episode I discuss review statistics that are commonly used in pharmacokinetics and pharmacometrics work. I reviewed the basic theory of the normal distribution and then discussed various individual statistics that we use in PK work. I concluded with some examples of which statistics I use in my work. Links discussed in the show:Link to message about harmonic mean You can connect with me on LinkedIn and send me a message Send me a message Sign up for my newsletter Copyright Teuscher Solutions LLCAll Rights Reserved
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Clinical Trial Simulations (Ep. 48)
In this episode I discuss clinical trial simulations. I review concepts of trial simulation including different variability terms and when to use them. I also share my thoughts on 3 different applications used in clinical trial simulation. Links discussed in the show:Trial Simulator Software page Simulx Software page You can connect with me on LinkedIn and send me a message Send me a message Sign up for my newsletter Copyright Teuscher Solutions LLCAll Rights Reserved
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Using R Shiny for Clinical Pharmacology (Ep. 47)
In this episode I discuss R Shiny and how it can be used for building clinical pharmacology tools. I provide an overview of the technology, suggest a few example use cases, and then walk through a specific practical example of predicting AUC and Cmax for future doses from observed data. I end with a discussion of the benefits and challenges of using R Shiny for clinical pharmacology tools. Links discussed in the show:Basics about R ShinyShinyapps.io for hosting shiny apps Example R Shiny app by Samer Mouskassi: ggplot with your dataExample R Shiny app for AUC-Cmax predictions You can connect with me on LinkedIn and send me a message Send me a message Sign up for my newsletter Copyright Teuscher Solutions LLCAll Rights Reserved
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Über Clinical Pharmacology Podcast with Nathan Teuscher

I discuss clinical pharmacology and pharmacometrics topics from the perspective of drug development scientists. I share my expertise and knowledge about designing and conducting clinical pharmacology studies and discuss how to analyze the data using the most effective approaches. I draw from my experience of over 20 years working in drug development organizations and consultancies.

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