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From application-first to science-first: A two-phase validation framework for complex in vitro NAMs
1Department of Environmental Health and Engineering, Johns Hopkins University, Bloomberg School of Public Health and Whiting School of Engineering, Baltimore, Maryland, USA.
A new framework separates model validation from context of use (CoU) qualification. This approach enhances the scientific credibility of complex in vitro models by informing applications based on capabilities, not initial constraints.
Area of Science:
- Toxicology
- In vitro model development
- Regulatory science
Background:
- New Approach Methodologies (NAMs) require a defined context of use (CoU) for validation.
- The initial CoU strategy can limit the scientific scope and validation of complex in vitro models.
- Existing validation frameworks may not fully capture the scientific potential of advanced models.
Purpose of the Study:
- To propose a novel two-phase framework for validating new approach methodologies (NAMs).
- To separate the scientific validation of a model from its context-specific qualification.
- To overcome the limitations imposed by a context of use (CoU) first approach in model validation.
Main Methods:
- Development of a two-phase validation framework.
- Implementation of a shared data repository to bridge scientific validation and qualification.
- Separation of intrinsic model capabilities assessment from application-specific qualification.
Main Results:
- The proposed framework allows for broader scientific validation before specific applications are defined.
- A shared data repository facilitates the communication of model performance and limitations.
- The approach enables informed selection of applications based on scientifically established model capabilities.
Conclusions:
- Separating scientific validation from context-specific qualification offers a more flexible and comprehensive approach to NAMs validation.
- This framework enhances the utility and credibility of complex in vitro models.
- The proposed structure supports the wider adoption and understanding of NAMs in regulatory science.
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