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Safer chemicals using less animals: kick-off of the European ONTOX project

期刊

TOXICOLOGY
卷 458, 期 -, 页码 -

出版社

ELSEVIER IRELAND LTD
DOI: 10.1016/j.tox.2021.152846

关键词

ONTOX; European project; 3Rs; In vitro; In silico; Systemic toxicity; Ontology; Artificial intelligence

资金

  1. European Commission [963845]

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The 3Rs concept, focusing on replacement, reduction, and refinement of animal experimentation, is gaining attention worldwide and has been incorporated into legislation, particularly in the European Union. The ONTOX project in Europe aims to develop AI-driven methods for repeated dose toxicity testing of chemicals without the use of animals to advance human risk assessment. This project will have a significant impact on consolidating Europe's leading position in the development and application of animal-free methods for chemical risk assessment.
The 3Rs concept, calling for replacement, reduction and refinement of animal experimentation, is receiving increasing attention around the world, and has found its way to legislation, in particular in the European Union. This is aligned by continuing high-level efforts of the European Commission to support development and implementation of 3Rs methods. In this respect, the European project called ONTOX: ontology-driven and artificial intelligence-based repeated dose toxicity testing of chemicals for next generation risk assessment was recently initiated with the goal to provide a functional and sustainable solution for advancing human risk assessment of chemicals without the use of animals in line with the principles of 21st century toxicity testing and next generation risk assessment. ONTOX will deliver a generic strategy to create new approach methodologies (NAMs) in order to predict systemic repeated dose toxicity effects that, upon combination with tailored exposure assessment, will enable human risk assessment. For proof-of-concept purposes, focus is put on NAMs addressing adversities in the liver, kidneys and developing brain induced by a variety of chemicals. The NAMs each consist of a computational system based on artificial intelligence and are fed by biological, toxicological, chemical and kinetic data. Data are consecutively integrated in physiological maps, quantitative adverse outcome pathway networks and ontology frameworks. Supported by artificial intelligence, data gaps are identified and are filled by targeted in vitro and in silico testing. ONTOX is anticipated to have a deep and long-lasting impact at many levels, in particular by consolidating Europe's world-leading position regarding the development, exploitation, regulation and application of animal-free methods for human risk assessment of chemicals.

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