Variability in in vivo studies: Defining the upper limit of performance for predictions of systemic effect levels-Reference-Cited by-同舟云学术

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Variability in in vivo studies: Defining the upper limit of performance for predictions of systemic effect levels

Published:2020-08 Issue: Volume:15 Page:100126
ISSN:2468-1113
Container-title:Computational Toxicology
language:en
Short-container-title:Computational Toxicology

Author:

Pham Ly Ly,Watford Sean M.,Pradeep Prachi,Martin Matthew T.,Thomas Russell S.,Judson Richard S.,Setzer R. Woodrow,Paul Friedman Katie

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Computer Science Applications,Toxicology

Reference56 articles.

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3. The adverse outcome pathway: a multifaceted framework supporting 21(st) century toxicology;Ankley;Curr. Opin. Toxicol.,2018

4. Screening chemicals for estrogen receptor bioactivity using a computational model;Browne;Environ. Sci. Technol.,2015

5. Standardisation of defined approaches for skin sensitisation testing to support regulatory use and international adoption: position of the International Cooperation on Alternative Test Methods;Casati;Arch. Toxicol.,2018

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