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Advancing Computational Toxicology by Interpretable Machine Learning
[Image: see text] Chemical toxicity evaluations for drugs, consumer products, and environmental chemicals have a critical impact on human health. Traditional animal models to evaluate chemical toxicity are expensive, time-consuming, and often fail to detect toxicants in humans. Computational toxicol...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666545/ https://www.ncbi.nlm.nih.gov/pubmed/37224004 http://dx.doi.org/10.1021/acs.est.3c00653 |