Cargando…
A matter of trust: Learning lessons about causality will make qAOPs credible
Toxicology in the 21st Century has seen a shift from chemical risk assessment based on traditional animal tests, identifying apical endpoints and doses that are “safe”, to the prospect of Next Generation Risk Assessment based on non-animal methods. Increasingly, large and high throughput in vitro da...
Autores principales: | Spînu, Nicoleta, Cronin, Mark T.D., Madden, Judith C., Worth, Andrew P. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8855346/ https://www.ncbi.nlm.nih.gov/pubmed/35224319 http://dx.doi.org/10.1016/j.comtox.2021.100205 |
Ejemplares similares
-
Quantitative adverse outcome pathway (qAOP) models for toxicity prediction
por: Spinu, Nicoleta, et al.
Publicado: (2020) -
Towards a qAOP framework for predictive toxicology - Linking data to decisions
por: Paini, Alicia, et al.
Publicado: (2022) -
Construct labeling: public trust and scientific credibility
por: Bedeian, Arthur G.
Publicado: (2015) -
Translating Scientific Advances in the AOP Framework to Decision Making for Nanomaterials
por: Ede, James D., et al.
Publicado: (2020) -
Building a Network of Adverse Outcome Pathways (AOPs) Incorporating the Tau-Driven AOP Toward Memory Loss (AOP429)
por: Tsamou, Maria, et al.
Publicado: (2022)