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

Michael G. Diemar, Cyrille A.M. Krul, Marc Teunis, Francois Busquet, Helena Kandarova, Julia D. Zajac, Mathieu Vinken, Erwin L. Roggen

Open source

DOI: 10.1177/02611929241305112
Published: 2024-12-18
Container: Alternatives to Laboratory Animals
Publisher: SAGE Publications
Open access: unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

supportingDOI registered: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1177/02611929241305112,
  title = {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},
  author = {Michael G. Diemar and Cyrille A.M. Krul and Marc Teunis and Francois Busquet and Helena Kandarova and Julia D. Zajac and Mathieu Vinken and Erwin L. Roggen},
  year = {2024},
  journal = {Alternatives to Laboratory Animals},
  doi = {10.1177/02611929241305112},
  url = {https://doi.org/10.1177/02611929241305112}
}

RIS

TY  - JOUR
TI  - 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
AU  - Michael G. Diemar
AU  - Cyrille A.M. Krul
AU  - Marc Teunis
AU  - Francois Busquet
AU  - Helena Kandarova
AU  - Julia D. Zajac
AU  - Mathieu Vinken
AU  - Erwin L. Roggen
PY  - 2024
JO  - Alternatives to Laboratory Animals
DO  - 10.1177/02611929241305112
UR  - https://doi.org/10.1177/02611929241305112
ER  -

APA

Diemar, M. G., Krul, C. A., Teunis, M., Busquet, F., Kandarova, H., Zajac, J. D., Vinken, M., & Roggen, E. L. (2024). 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. Alternatives to Laboratory Animals. https://doi.org/10.1177/02611929241305112

Source records

crossref · retrieved 2026-09-26T14:56:49.505Z