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.

IF 2.4 4区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
Atla-Alternatives To Laboratory Animals Pub Date : 2025-01-01 Epub Date: 2024-12-18 DOI:10.1177/02611929241305112
Michael G Diemar, Cyrille A M Krul, Marc Teunis, Francois Busquet, Helena Kandarova, Julia D Zajac, Mathieu Vinken, Erwin L Roggen
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引用次数: 0

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.

第一ONTOX黑客马拉松报告:黑客拯救生命,避免动物痛苦。人工智能在毒理学中的应用——未来减少/取代实验动物的潜在驱动力。
欧盟地平线2020资助的ONTOX项目的第一届ONTOX黑客马拉松于2024年4月21日至23日在荷兰乌得勒支举行(https://ontox-project.eu/hackathon/)。这一参与性活动旨在通过使用人工智能(AI)共同推进人类安全创新,从而显著减少对动物试验的依赖。专家科学家、行业领袖、年轻的调查人员、动物福利组织成员和学者都参加了黑客马拉松。八个团队受到激励,为具有挑战性的主题找到创新的解决方案,这些解决方案是根据利益相关者之前的讨论选出的,即:如何推动人工智能在化学品风险评估中的应用?预测或保护?我们怎样才能同时保证人类健康和环境保护?以及我们如何促进从动物试验到全面实施与人体相关的方法的过渡?黑客马拉松以一场投球比赛结束,参赛团队向评审团展示了他们的解决方案。最有希望的解决方案将在下一次ONTOX利益相关者网络会议上提交给监管机构、行业、学术界和非政府组织,并由ONTOX项目采纳,以进一步应对上述挑战。本报告由两部分组成:第一部分重点介绍在策划和执行黑客马拉松过程中汲取的一些经验教训;第二部分介绍了ONTOX黑客马拉松的成果,该成果产生了基于新方法方法(NAMs)的几种创新和有前途的解决方案,并概述了ONTOX的预期前进方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.80
自引率
3.70%
发文量
60
审稿时长
>18 weeks
期刊介绍: Alternatives to Laboratory Animals (ATLA) is a peer-reviewed journal, intended to cover all aspects of the development, validation, implementation and use of alternatives to laboratory animals in biomedical research and toxicity testing. In addition to the replacement of animals, it also covers work that aims to reduce the number of animals used and refine the in vivo experiments that are still carried out.
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