Audouze, Karine;
Zgheib, Elias;
Abass, Khaled;
Baig, Asma H;
Forner-Piquer, Isabel;
Holbech, Henrik;
Knapen, Dries;
... Martin, Olwenn V; + view all
(2021)
Evidenced-Based Approaches to Support the Development of Endocrine-Mediated Adverse Outcome Pathways: Challenges and Opportunities.
Frontiers in Toxicology
, 3
, Article 787017. 10.3389/ftox.2021.787017.
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Abstract
A transformation of regulatory toxicology is underway to meet the demands of testing increasing numbers of chemicals whilst reducing reliance on in vivo models. This transformation requires a shift from chemical safety assessment largely based on direct empirical observation of apical toxicity outcomes in whole organisms to predictive approaches in which outcomes and risks are inferred from accumulated mechanistic understanding. In the last decade, Adverse Outcome Pathways (AOPs) (Ankley et al., 2010; Ankley and Edwards, 2018) have captured the attention of regulators and researchers alike as a systematic approach for organizing knowledge that may support such inferences (Wittwehr et al., 2017).
Type: | Article |
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Title: | Evidenced-Based Approaches to Support the Development of Endocrine-Mediated Adverse Outcome Pathways: Challenges and Opportunities |
Location: | Switzerland |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.3389/ftox.2021.787017 |
Publisher version: | http://dx.doi.org/10.3389/ftox.2021.787017 |
Language: | English |
Additional information: | Copyright © 2021 Audouze, Zgheib, Abass, Baig, Forner-Piquer, Holbech, Knapen, Leonards, Lupu, Palaniswamy, Rautio, Sapounidou and Martin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
Keywords: | Adverse outcome pathways, endocrine disruption, systematic (literature) review, machine learning, evidence-based methods |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL SLASH UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities > Arts and Sciences (BASc) |
URI: | https://discovery.ucl.ac.uk/id/eprint/10197286 |
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