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Clinical Pharmacology Podcast with Nathan Teuscher
Nathan Teuscher
50 episodes
1 week ago
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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Life Sciences
Science
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All content for Clinical Pharmacology Podcast with Nathan Teuscher is the property of Nathan Teuscher and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
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.
Show more...
Life Sciences
Science
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CDISC datasets and ACoP 2025 (Ep. 50)
Clinical Pharmacology Podcast with Nathan Teuscher
18 minutes 46 seconds
3 weeks ago
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


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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.