Novel computational models offer alternatives to animal testing for assessing eye irritation and corrosion potential of chemicals.
- DOI
- 10.1016/j.ailsci.2021.100028
- Published
- 2021 Dec
- Container
- Artificial intelligence in the life sciences
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.ailsci.2021.100028,
title = {Novel computational models offer alternatives to animal testing for assessing eye irritation and corrosion potential of chemicals.},
author = {Silva AC and Borba JVVB and Alves VM and Hall SUS and Furnham N and Kleinstreuer N and Muratov E and Tropsha A and Andrade CH},
year = {2021},
journal = {Artificial intelligence in the life sciences},
doi = {10.1016/j.ailsci.2021.100028},
url = {https://doi.org/10.1016/j.ailsci.2021.100028}
}RIS
TY - JOUR TI - Novel computational models offer alternatives to animal testing for assessing eye irritation and corrosion potential of chemicals. AU - Silva AC AU - Borba JVVB AU - Alves VM AU - Hall SUS AU - Furnham N AU - Kleinstreuer N AU - Muratov E AU - Tropsha A AU - Andrade CH PY - 2021 JO - Artificial intelligence in the life sciences DO - 10.1016/j.ailsci.2021.100028 UR - https://doi.org/10.1016/j.ailsci.2021.100028 ER -
APA
AC, S., JVVB, B., VM, A., SUS, H., N, F., N, K., E, M., A, T., & CH, A. (2021). Novel computational models offer alternatives to animal testing for assessing eye irritation and corrosion potential of chemicals.. Artificial intelligence in the life sciences. https://doi.org/10.1016/j.ailsci.2021.100028
Source records
- pubmed · retrieved 2026-09-27T07:48:32.876Z