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19: Communication for scientists (Ep. 19)

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 skills joins me to discuss communication challenges and solutions for clinical pharmacologists and pharmacometricians. Links discussed in the show: You…

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18: Cell Therapy and Clinical Pharmacology (Ep. 18)

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 Image You can connect with me on LinkedIn and send me a message Send me a…

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17: Allometry in Pediatrics and First in Human Studies (Ep. 17)

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 in the show: Boxenbaum manuscript FDA guidance on First in Human doses You can connect with me…

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16: Computer System Validation for Pharmacometrics (Ep. 16)

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 discuss what auditors and FDA inspectors want to see. Links discussed in the show: Computer system validation…

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15: QSP, PBPK, PKPD, PopPK … analysis abbreviation soup! (Ep. 15)

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 and has different assumptions and limitations. Links discussed in the show: You can connect with…

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14: Clinical Drug Interaction Studies (Ep. 14)

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 studies, as well as nested drug interaction studies. I’ll finish with recommended approaches for interpreting drug interaction study results and expressing…

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13: Handling BLQ samples (Ep. 13)

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 discussed in the show: FDA guidance on bioanalytical method validation Handling data below the limit of quantitation in mixed effects…

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12: PK in patients with impaired renal function (Ep. 12)

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 impairment study is needed, characteristics of the study design and how to analyze and interpret the results….

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11: Model diagnostics and selection (Ep. 11)

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 continuous endpoints like drug concentration, biomarkers, or other continuous endpoints. Several figures are mentioned in the podcast…

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10: Exposure-Response FDA Guidance (Ep. 10)

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 discuss the regulatory applications of exposure-response, the exposure-response relationships over time, the design of studies to collection exposure-response information,…

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