Report of the First ONTOX Hackathon: Hack to Save Lives and Avoid Animal Suffering. The Use of Artificial Intelligence in Toxicology — A Potential Driver for Reducing/Replacing Laboratory Animals in the Future

The first ONTOX Hackathon of the EU Horizon 2020-funded ONTOX project was held on 21-23 April 2024 in Utrecht, The Netherlands (https://ontox-project.eu/hackathon/). This participatory event aimed to collectively advance innovation for human safety through the use of Artificial Intelligence (AI), and hence significantly reduce reliance on animal-based testing. Expert scientists, industry leaders, young investigators, members of animal welfare organisations and academics alike, joined the hackathon. Eight teams were stimulated to find innovative solutions for challenging themes, that were selected based on previous discussions between stakeholders, namely: How to drive the use of AI in chemical risk assessment?; To predict or protect?; How can we secure human health and environmental protection at the same time?; and How can we facilitate the transition from animal tests to full implementation of human-relevant methods? The hackathon ended with a pitching contest, where the teams presented their solutions to a jury. The most promising solutions will be presented to regulatory authorities, industry, academia and non-governmental organisations at the next ONTOX Stakeholder Network meeting and taken up by the ONTOX project in order to tackle the above-mentioned challenges further. This report comprises two parts: The first part highlights some of the lessons learnt during the planning and execution of the hackathon; the second part presents the outcome of the ONTOX Hackathon, which resulted in several innovative and promising solutions based on New Approach Methodologies (NAMs), and outlines ONTOX's intended way forward.

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Publication Details

Journal
Alternatives to Laboratory Animals
Published
2024-12-18
DOI
https://doi.org/10.1177/02611929241305112
Citations
5
Primary Topic
Biomedical and Engineering Education
Type
article
Field-Weighted Citation Impact
0.92
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article

Report of the First ONTOX Hackathon: Hack to Save Lives and Avoid Animal Suffering. The Use of Artificial Intelligence in Toxicology — A Potential Driver for Reducing/Replacing Laboratory Animals in the Future

Erwin Roggen, Helena Kanďárová, Mathieu Vinken, Marc Teunis et al.
5 citations
Alternatives to Laboratory Animals
Biomedical and Engineering Education
0.92
article

Report of the First ONTOX Hackathon: Hack to Save Lives and Avoid Animal Suffering. The Use of Artificial Intelligence in Toxicology — A Potential Driver for Reducing/Replacing Laboratory Animals in the Future

Erwin Roggen, Helena Kanďárová, Mathieu Vinken, Marc Teunis, François Busquet, Michael Guy Diemar, Julia Dominika Zajac, Cyrille Krul
article en
5 citations

Abstract

The first ONTOX Hackathon of the EU Horizon 2020-funded ONTOX project was held on 21-23 April 2024 in Utrecht, The Netherlands (https://ontox-project.eu/hackathon/). This participatory event aimed to collectively advance innovation for human safety through the use of Artificial Intelligence (AI), and hence significantly reduce reliance on animal-based testing. Expert scientists, industry leaders, young investigators, members of animal welfare organisations and academics alike, joined the hackathon. Eight teams were stimulated to find innovative solutions for challenging themes, that were selected based on previous discussions between stakeholders, namely: How to drive the use of AI in chemical risk assessment?; To predict or protect?; How can we secure human health and environmental protection at the same time?; and How can we facilitate the transition from animal tests to full implementation of human-relevant methods? The hackathon ended with a pitching contest, where the teams presented their solutions to a jury. The most promising solutions will be presented to regulatory authorities, industry, academia and non-governmental organisations at the next ONTOX Stakeholder Network meeting and taken up by the ONTOX project in order to tackle the above-mentioned challenges further. This report comprises two parts: The first part highlights some of the lessons learnt during the planning and execution of the hackathon; the second part presents the outcome of the ONTOX Hackathon, which resulted in several innovative and promising solutions based on New Approach Methodologies (NAMs), and outlines ONTOX's intended way forward.

Alternatives to Laboratory AnimalsVol. 53(1)
Vrije Universiteit Brussel (BE), University of Applied Sciences Utrecht (NL), Slovak Academy of Sciences (SK), Centre of Experimental Medicine of the Slovak Academy of Sciences (SK), ABS Consulting (United States) (US), Institute of Experimental Pharmacology and Toxicology of the Slovak Academy of Sciences (SK)
Partnerships for the goals
Openalex Percentile: Top 27%
Biomedical and Engineering Education
0.92
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