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Clinical Pharmacology Podcast with Nathan Teuscher

Nathan Teuscher

Clinical Pharmacology Podcast with Nathan Teuscher

A Science podcast
Good podcast? Give it some love!
Clinical Pharmacology Podcast with Nathan Teuscher

Nathan Teuscher

Clinical Pharmacology Podcast with Nathan Teuscher

Episodes
Clinical Pharmacology Podcast with Nathan Teuscher

Nathan Teuscher

Clinical Pharmacology Podcast with Nathan Teuscher

A Science podcast
Good podcast? Give it some love!
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Episodes of Clinical Pharmacology Podcast

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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
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 varia
Today’s show is about different work environments and not scientific topics. Throughout my career I have worked in many different types of companies, and I would like to share some observations with you from those experiences. I have held posit
Today’s show discussed biosimilar development from a clinical pharmacology perspective. I describe what biosimilar products are and the necessary comparisons to the reference product. I review requirements for PK similarity, PD similarity, immu
Today’s show discussed approaches for modeling absorption profiles. I discussed the rationale behind modeling absorption and then described some common models. These included first-order absorption, zero-order absorption, transit compartments,
Today’s show was an overview of Aplos Analytics and the development story for Aplos NCA. Please consider participating in the Early Access Program. Use the link below to learn more about Aplos NCA.Links discussed in the show:Aplos Analytics
Today’s show is about hepatic impairment clinical studies. I cover the rationale behind evaluating hepatic impairment, common study designs, and key factors in the analysis and interpretation of the study results. I also share a huge announceme
Today’s episode was about Project Optimus, the FDA initiative to improve dose selection and optimization for oncology products. Julie Bullock was a guest on this episode and shared her expertise as a former oncology clinical pharmacology review
Today’s show is about TMDD or target-mediated drug disposition models. I review the scientific and physiologic basis for TMDD models, how to review data and determine if a TMDD model is needed. I review the various modeling approaches along wit
Today’s episode is about communication for scientists. I believe that improvements in communication skills can have a greater impact on your career and work than technical skills. Michael Piperno, an expert in communication and leadership skill
Today’s episode is about cell therapies, including CAR T-cell theraphy for cancer. I give an overview of cell therapy and the challenges of clinical pharmacology in this new area of research.Links discussed in the show:CAR T-cell Therapy Ima
Happy New Year! Today’s episode is all about allometric scaling in pharmacokinetic and pharmacodynamics. In particular, I’ll discuss how to use it for scaling from adults to pediatrics and for selection of first in human doses. Links discussed
This is the last podcast for 2023. Thank you for listening throughout the year! In today’s episode I talk about computer system validation for pharmacometrics. I review my experience with validation in multiple companies over 20 years and discu
In today’s episode I cover 4 different modeling approaches: QSP, PBPK, PopPK, and PKPD. All of these are methods for analyzing data to predict either drug concentrations, or a response variable. But each method is developed in a different way a
In today’s episode I discuss BLQ handing for both non-compartmental and modeling analysis approaches. I discuss how BLQ samples are defined, methods for analyzing them, and situations when you should use different analysis approaches. Links d
In today’s episode I covered the different types of drug interactions, followed by features of clinical drug evaluation studies recommended in the guidance. Then I will review recommendations for both stand-alone clinical drug interaction studi
In today’s episode I discuss the evaluation of pharmacokinetics in patients with impaired renal function. I include information from both the US FDA and EMA guidance documents linked below. I discuss the determination of when a dedicated renal
This episode is a discussion on model evaluation and selection. I discussed diagnostic plots using predictions and residuals. I covered approaches for model selection and factors to consider. The focus of this episode is on models that predict
This episode is a discussion of the FDA guidance “Exposure-Response Relationships”. The relationship between drug exposure and response is critical to any determination of the safety and effectiveness of a drug product. In this episode I discus
This episode I talk about finding a job in Clinical Pharmacology or Pharmacometrics. I share a few thoughts from my experience followed by an interview with TJ Elder, the president of STEM Sourcing Recruiting and Staffing. TJ shares his insight
This episode is a discussion of the FDA and ICH guidance E14 titled “Clinical Evaluation of QT/QTc Interval Prolongation and Proarrhythmic Potential for Non-Antiarrhythmic Drugs”. I start with background on the reason for these evaluations, the
Thank you to everyone who sent me feedback on this podcast. This episode is based on a suggestion from Kushal and Parmesh. In this episode, I discuss a general clinical pharmacology pediatric extrapolation plan. I describe the basics of the pla
Thank you to everyone who sent me feedback on this podcast. This episode is based on a suggestion from Drew. In this episode, I discuss bioequivalence studies and generic drug development. I will refer to guidance documents from both the Europe
In this episode, I discuss some nuances of non-compartmental analysis or NCA. I am going to focus on three separate parameters: Cmax, AUC, and the terminal elimination rate constant. These three are the most commonly used parameters to describe
In this episode, I discuss the 2022 FDA Guidance on Population PK analysis. This includes a discussion of the applications, methods, and submission requirements for population PK models.Links discussed in the show:• FDA Population PK Guidan
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