From application‐first to science‐first: A two‐phase validation framework for complex <i>in vitro</i> <scp>NAMs</scp>

Validation of new approach methodologies increasingly requires developers to define a context of use (CoU) before establishing scientific credibility, constraining complex in vitro models. This CoU first strategy can impose a structural limitation on validation. We propose a two-phase framework that separates scientific validation from context-specific qualification, bridged by a shared data repository. Under this structure, the model's scientific capabilities and limitations inform the range of potential applications, rather than being constricted to the first CoU selected.

Authors

Institutions

Publication Details

Journal
Clinical Pharmacology & Therapeutics
Published
2026-08-03
DOI
https://doi.org/10.1002/cpt.70428
Primary Topic
3D Printing in Biomedical Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From application‐first to science‐first: A two‐phase validation framework for complex in vitro NAMs

Paul Locke, Yiguang Zhu
Clinical Pharmacology & Therapeutics
3D Printing in Biomedical Research
article

From application‐first to science‐first: A two‐phase validation framework for complex in vitro NAMs

Paul Locke, Yiguang Zhu
article en

Abstract

Validation of new approach methodologies increasingly requires developers to define a context of use (CoU) before establishing scientific credibility, constraining complex in vitro models. This CoU first strategy can impose a structural limitation on validation. We propose a two-phase framework that separates scientific validation from context-specific qualification, bridged by a shared data repository. Under this structure, the model's scientific capabilities and limitations inform the range of potential applications, rather than being constricted to the first CoU selected.

Clinical Pharmacology & Therapeutics
Johns Hopkins University (US)
Openalex Percentile: Top 17%
3D Printing in Biomedical Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.