• Clinical Pharmacology Podcast with Nathan Teuscher

  • De: Nathan Teuscher
  • Podcast

Clinical Pharmacology Podcast with Nathan Teuscher  Por  arte de portada

Clinical Pharmacology Podcast with Nathan Teuscher

De: Nathan Teuscher
  • Resumen

  • 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.
    Nathan Teuscher
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Episodios
  • Parellelization in modeling (Ep. 29)
    Jul 8 2024

    This episode covered parallelization in modeling analyses. I spoke about across model parallelization and within model parallelization. I recommended some approaches for choosing how many cores to use in parallelization and also discussed different modeling computer systems you can use.


    Links discussed in the show:

    • You can connect with me on LinkedIn and send me a message
    • Send me a message
    • Sign up for my newsletter


    Copyright Teuscher Solutions LLC

    All Rights Reserved

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    19 m
  • Residual errors and submission packages (Ep. 28)
    Jun 24 2024

    Today I covered 2 different topics. First, I spoke about residual error models when modeling. I discussed additive, proportional, and power models. I also reviewed combined models and when they can be helpful. Then I spoke about modeling report submission packages. I explained what I put in those packages, how they are used, and some potential changes coming in the future.


    Links discussed in the show:

    • Publication on model master file
    • You can connect with me on LinkedIn and send me a message
    • Send me a message
    • Sign up for my newsletter


    Copyright Teuscher Solutions LLC

    All Rights Reserved


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    28 m
  • Simulations (Ep. 27)
    Jun 10 2024

    This episode discusses simulations. I group simulations into 4 categories: (1) average response, (2) population, (3) individual, and (4) clinical trial simulations. I discuss details of each of these types of simulations and the different variability terms included in each one. I strongly recommend that we implement more clinical trial simulations in our work. This will help us design and execute more successful clinical trials that take advantage of our existing knowledge about a drug. Enjoy the show and connect with me using the links below if you have any questions.


    Links discussed in the show:

    • You can connect with me on LinkedIn and send me a message
    • Send me a message
    • Sign up for my newsletter


    Copyright Teuscher Solutions LLC

    All Rights Reserved

    Más Menos
    21 m

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