Predicting in vivo effect levels for repeat-dose systemic toxicity using chemical, biological, kinetic and study covariates

In an effort to address a major challenge in chemical safety assessment, alternative approaches for characterizing systemic effect levels, a predictive model was developed. Systemic effect levels were curated from ToxRefDB, HESS-DB and COSMOS-DB from numerous study types totaling 4379 in vivo studie...

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Detalles Bibliográficos
Autores principales: Truong, Lisa, Ouedraogo, Gladys, Pham, LyLy, Clouzeau, Jacques, Loisel-Joubert, Sophie, Blanchet, Delphine, Noçairi, Hicham, Setzer, Woodrow, Judson, Richard, Grulke, Chris, Mansouri, Kamel, Martin, Matthew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
Materias:
Regulatory Toxicology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5818596/
https://www.ncbi.nlm.nih.gov/pubmed/29075892
http://dx.doi.org/10.1007/s00204-017-2067-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5818596/
https://www.ncbi.nlm.nih.gov/pubmed/29075892
http://dx.doi.org/10.1007/s00204-017-2067-x

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