The Evolving Role of In Vitro–In Vivo Correlation in Model‐Informed Drug Development: A Multi‐Stakeholder Perspective

In vitro-in vivo correlation/relationship (IVIVC/R) models such as physiologically based biopharmaceutics modeling (PBBM) are crucial tools that link biopharmaceutical properties to clinical performance. They accelerate development, reduce costly experimental studies and clinical trials, and justify regulatory decisions for drug formulation related questions of interest (QOI). This paper consolidates insights from academia, industry, and service providers, exploring future opportunities, organizational challenges, regulatory perspectives, and competency gaps for further enhanced application in pharmaceutical development and regulatory decision-making.

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Journal
CPT Pharmacometrics & Systems Pharmacology
Published
2025-10-28
DOI
https://doi.org/10.1002/psp4.70137
Primary Topic
Statistical Methods in Clinical Trials
Type
article
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article

The Evolving Role of In Vitro–In Vivo Correlation in Model‐Informed Drug Development: A Multi‐Stakeholder Perspective

Karl Brendel, Menno Jacobs, Marylore Chenel, Sylvain Fouliard et al.
CPT Pharmacometrics & Systems Pharmacology
Statistical Methods in Clinical Trials
article

The Evolving Role of In Vitro–In Vivo Correlation in Model‐Informed Drug Development: A Multi‐Stakeholder Perspective

Karl Brendel, Menno Jacobs, Marylore Chenel, Sylvain Fouliard, Martin Bergstrand, Erik Sjögren, Hans Lennernäs, Emma Hansson
article en

Abstract

In vitro-in vivo correlation/relationship (IVIVC/R) models such as physiologically based biopharmaceutics modeling (PBBM) are crucial tools that link biopharmaceutical properties to clinical performance. They accelerate development, reduce costly experimental studies and clinical trials, and justify regulatory decisions for drug formulation related questions of interest (QOI). This paper consolidates insights from academia, industry, and service providers, exploring future opportunities, organizational challenges, regulatory perspectives, and competency gaps for further enhanced application in pharmaceutical development and regulatory decision-making.

CPT Pharmacometrics & Systems PharmacologyVol. 14(12)
Uppsala University (SE), Ipsen (France) (FR), Servier (France) (FR)
Openalex Percentile: Top 71%
Statistical Methods in Clinical Trials
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