Abstract
Diemar MG, Krul CAM, Teunis M, et al. 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. Altern Lab Anim. 2025;53(1):42-61. DOI:10.1177/02611929241305112
The authors would like to update the Acknowledgements and Funding section as under:
Acknowledgements
ONTOX expresses a great thank you to all participants and facilitators for a very enthusiastic involvement (Appendix, Figure A4). The credits for the photographs used by Breakout Group H for their presentation slide (Figure 8(a)) are: bus couple, from the EC website (© iStock); man in suit, model photograph on bucco.us; grad couple, Cumberland University, Lebanon, TN, USA (https://www.cumberland.edu/academics/); meeting table (https://www.cleanpng.com/png-roundtable-meeting-clip-art-meeting-675504/).
Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: European Union’s Horizon 2020 Research and Innovation programme, 963845. This work was performed in the context of the ONTOX project (https://ontoxproject.eu/) that has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No. 963845. ONTOX is part of the ASPIS project cluster (https://aspiscluster.eu/). The Hackathon was made possible in part by a financial contribution from the VHP4Safety project (NWA grant 1292.19.272).