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Model-Informed Drug Discovery and Development: Current Industry Good Practice and Regulatory Expectations and Future Perspectives.
- Source :
-
CPT: pharmacometrics & systems pharmacology [CPT Pharmacometrics Syst Pharmacol] 2019 Feb; Vol. 8 (2), pp. 87-96. Date of Electronic Publication: 2019 Feb 01. - Publication Year :
- 2019
-
Abstract
- Good practices around model-informed drug discovery and development (MID3) aim to improve the implementation, standardization, and acceptance of these approaches within drug development and regulatory review. A survey targeted to clinical pharmacology and pharmacometric colleagues across industry, the US Food and Drug Administration (FDA), and the European Medicines Agency (EMA) was conducted to understand current and future roles of MID3. The documented standards were generally affirmed as a "good match" to current industry practice and regulatory expectations, with some identified gaps that are discussed. All have seen at least a "modest" step forward in MID3 implementation associated with greater organizational awareness and share the expectation for a future wider use and impact. The priority within organizations was identified as a limitation with respect to the future of MID3. Finally, potential solutions, including a global overarching MID3 regulatory guideline, to facilitate greater acceptance by industry and regulatory decision makers are discussed.<br /> (© 2018 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of the American Society for Clinical Pharmacology and Therapeutics.)
- Subjects :
- Decision Making
Drug Approval legislation & jurisprudence
Drug Development legislation & jurisprudence
Drug Discovery legislation & jurisprudence
Europe
Guidelines as Topic
Humans
Models, Theoretical
United States
United States Food and Drug Administration
Drug Development methods
Drug Discovery methods
Drug Industry legislation & jurisprudence
Subjects
Details
- Language :
- English
- ISSN :
- 2163-8306
- Volume :
- 8
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- CPT: pharmacometrics & systems pharmacology
- Publication Type :
- Academic Journal
- Accession number :
- 30411538
- Full Text :
- https://doi.org/10.1002/psp4.12372