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Ontology-driven and artificial intelligence-based repeated dose toxicity testing of chemicals for next generation risk assessment

Project description

Developing the future of animal-free testing

Various products used in daily life make use of chemicals that require testing to ensure they are not harmful. Animals are often used to test the effects of these chemicals on various parts and organs of the body, necessitating a new approach to testing in line with modern principles. The EU-funded ONTOX project aims to provide a cutting-edge, animal-free method for testing chemicals. It will achieve this through a novel approach that predicts the effects of chemicals on the body using AI combined with multidisciplinary medical data and testing. This approach could help the rapid adoption of animal-free testing while establishing Europe's leading position in chemical risk assessment.

Objective

The vision of the ONTOX consortium is 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. Specifically, ONTOX will deliver a generic strategy to create innovative 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. This strategy can be applied to any type of chemical and systemic repeated dose toxicity effect. However, for proof-of-concept purposes, focus will be put on 6 specific NAMs addressing adversities in the liver (steatosis and cholestasis), kidneys (tubular necrosis and crystallopathy) and developing brain (neural tube closure and cognitive function defects) induced by a variety of chemicals, including from the pharmaceutical, cosmetics, food and biocide sectors. The 6 NAMs will each consist of a computational system based on cutting-edge artificial intelligence (AI) and will be primarily fed by available biological/mechanistic, toxicological/epidemiological, physico-chemical and kinetic data. Data will be consecutively integrated in physiological maps, quantitative adverse outcome pathway networks and ontology frameworks. Data gaps, as identified by AI, will be filled by targeted state-of-the-art in vitro and in silico testing. The 6 NAMs will be evaluated and applied in collaboration with industrial and regulatory stakeholders in order to maximise end-user acceptance and regulatory confidence. This is anticipated to expedite implementation in risk assessment practice and to facilitate commercialisation. ONTOX will 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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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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RIA - Research and Innovation action

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-SC1-BHC-2018-2020

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Coordinator

VRIJE UNIVERSITEIT BRUSSEL
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 2 491 262,50
Address
PLEINLAAN 2
1050 Bruxelles / Brussel
Belgium

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Region
Région de Bruxelles-Capitale/Brussels Hoofdstedelijk Gewest Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest Arr. de Bruxelles-Capitale/Arr. Brussel-Hoofdstad
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 2 491 262,50

Participants (18)

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