scispace - formally typeset
Open AccessJournal ArticleDOI

Consideration of a Credibility Assessment Framework in Model-Informed Drug Development: Potential Application to Physiologically-Based Pharmacokinetic Modeling and Simulation.

Reads0
Chats0
TLDR
A risk‐informed credibility assessment framework is applied to physiologically‐based pharmacokinetic modeling and simulation and it is hypothesize this evidentiary framework may also be useful for evaluating other MIDD approaches.
Abstract
The use of computational models in drug development has grown during the past decade. These model-informed drug development (MIDD) approaches can inform a variety of drug development and regulatory decisions. When used for regulatory decision making, it is important to establish that the model is credible for its intended use. Currently, there is no consensus on how to establish and assess model credibility, including the selection of appropriate verification and validation activities. In this article, we apply a risk-informed credibility assessment framework to physiologically-based pharmacokinetic modeling and simulation and hypothesize this evidentiary framework may also be useful for evaluating other MIDD approaches. We seek to stimulate a scientific discussion around this framework as a potential starting point for uniform assessment of model credibility across MIDD. Ultimately, an overarching framework may help to standardize regulatory evaluation across therapeutic products (i.e., drugs and medical devices).

read more

Citations
More filters
Book ChapterDOI

United States food and drug administration

TL;DR: The US Food and Drug Administration (FDA) regulates medical devices primarily through the law known as the Federal Food, Drug, and Cosmetic Act, as Amended (FD&C Act, or “the Act”) as discussed by the authors.
Journal ArticleDOI

Translational Quantitative Systems Pharmacology in Drug Development: from Current Landscape to Good Practices.

TL;DR: To accelerate advances and application of QSP with consistent quality, a list of key questions is proposed to be addressed when assessing the quality of a QSP model in hopes of stimulating the scientific community to set common expectations.
Journal ArticleDOI

An integrated computational methodology with data-driven machine learning, molecular modeling and PBPK modeling to accelerate solid dispersion formulation design

TL;DR: An combined computational tools have been developed to in silico predict formulation composition, in vitro release and in vivo absorption behavior of SD formulations, which will significantly facilitate pharmaceutical formulation development than the traditional trial-and-error approach in the laboratory.
References
More filters
Book ChapterDOI

United States food and drug administration

TL;DR: The US Food and Drug Administration (FDA) regulates medical devices primarily through the law known as the Federal Food, Drug, and Cosmetic Act, as Amended (FD&C Act, or “the Act”) as discussed by the authors.
Journal ArticleDOI

Learning versus confirming in clinical drug development

TL;DR: It is necessary to select patients suitable for vaginal or laparoscopic mesh placement for intranasal administration based on prior history and once they provide informed consent for surgery.
Journal ArticleDOI

Establishing Best Practices and Guidance in Population Modeling: An Experience With an Internal Population Pharmacokinetic Analysis Guidance

TL;DR: This tutorial describes the development of a population pharmacokinetic (Pop PK) analysis guidance within Pfizer, which strives for improved consistency and efficiency, and a more systematic approach to model building.
Journal ArticleDOI

Model-Informed Drug Development: Current US Regulatory Practice and Future Considerations

TL;DR: Model‐informed drug development (MIDD) refers to the application of a wide range of quantitative models in drug development to facilitate the decision‐making process and can be broadly classified into four categories: dose optimization, supportive evidence for efficacy, clinical trial design, and informing policy.
Journal ArticleDOI

Reverse Translation in PBPK and QSP: Going Backwards in Order to Go Forward With Confidence

TL;DR: This review demonstrates the advantages of combining classical data analysis with PBPK‐IVIVE‐linked models in filling knowledge gaps and discusses the perceived hurdles in widening applications.
Related Papers (5)