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Plos Computational Biology
|
April 28, 2010
Simulating microdosimetry in a virtual hepatic lobule
John Wambaugh, Imran Shah
Journal of Toxicology and Environmental Health. Part B, Critical Reviews
|
June 25, 2010
Virtual tissues in toxicology
Imran Shah, John Wambaugh
Methods in Molecular Biology (Clifton, N.J.)
|
October 23, 2012
Systems toxicology from genes to organs
John Jack, John Wambaugh, Imran Shah
Computational Toxicology (Amsterdam, Netherlands)
|
June 13, 2023
Repeat-dose toxicity prediction with Generalized Read-Across (GenRA) using targeted transcriptomic data: A proof-of-concept case study
Tia Tate, John Wambaugh, Grace Patlewicz, et al.
Environment International
|
September 3, 2017
High-throughput dietary exposure predictions for chemical migrants from food contact substances for use in chemical prioritization
Derya Biryol, Chantel I Nicolas, John Wambaugh, et al.
Computational Toxicology (Amsterdam, Netherlands)
|
June 14, 2021
Using Chemical Structure Information to Develop Predictive Models for <i>In Vitro</i> Toxicokinetic Parameters to Inform High-throughput Risk-assessment
Prachi Pradeep, Grace Patlewicz, Robert Pearce, et al.
Journal of Applied Toxicology : JAT
|
March 1, 2016
Development of a quantitative morphological assessment of toxicant-treated zebrafish larvae using brightfield imaging and high-content analysis
Samantha Deal, John Wambaugh, Richard Judson, et al.
Basic & Clinical Pharmacology & Toxicology
|
April 2, 2014
In vitro and modelling approaches to risk assessment from the U.S. Environmental Protection Agency ToxCast programme
Richard Judson, Keith Houck, Matt Martin, et al.
Plos One
|
February 23, 2011
Using nuclear receptor activity to stratify hepatocarcinogens
Imran Shah, Keith Houck, Richard S Judson, et al.
The Science of the Total Environment
|
May 28, 2013
Comparison of modeling approaches to prioritize chemicals based on estimates of exposure and exposure potential
Jade Mitchell, Jon A Arnot, Olivier Jolliet, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 19) with videos related to
Sort By:
Page
of 2
Plos Computational Biology
|
April 28, 2010
Simulating microdosimetry in a virtual hepatic lobule
John Wambaugh, Imran Shah
Journal of Toxicology and Environmental Health. Part B, Critical Reviews
|
June 25, 2010
Virtual tissues in toxicology
Imran Shah, John Wambaugh
Methods in Molecular Biology (Clifton, N.J.)
|
October 23, 2012
Systems toxicology from genes to organs
John Jack, John Wambaugh, Imran Shah
Computational Toxicology (Amsterdam, Netherlands)
|
June 13, 2023
Repeat-dose toxicity prediction with Generalized Read-Across (GenRA) using targeted transcriptomic data: A proof-of-concept case study
Tia Tate, John Wambaugh, Grace Patlewicz, et al.
Environment International
|
September 3, 2017
High-throughput dietary exposure predictions for chemical migrants from food contact substances for use in chemical prioritization
Derya Biryol, Chantel I Nicolas, John Wambaugh, et al.
Computational Toxicology (Amsterdam, Netherlands)
|
June 14, 2021
Using Chemical Structure Information to Develop Predictive Models for <i>In Vitro</i> Toxicokinetic Parameters to Inform High-throughput Risk-assessment
Prachi Pradeep, Grace Patlewicz, Robert Pearce, et al.
Journal of Applied Toxicology : JAT
|
March 1, 2016
Development of a quantitative morphological assessment of toxicant-treated zebrafish larvae using brightfield imaging and high-content analysis
Samantha Deal, John Wambaugh, Richard Judson, et al.
Basic & Clinical Pharmacology & Toxicology
|
April 2, 2014
In vitro and modelling approaches to risk assessment from the U.S. Environmental Protection Agency ToxCast programme
Richard Judson, Keith Houck, Matt Martin, et al.
Plos One
|
February 23, 2011
Using nuclear receptor activity to stratify hepatocarcinogens
Imran Shah, Keith Houck, Richard S Judson, et al.
The Science of the Total Environment
|
May 28, 2013
Comparison of modeling approaches to prioritize chemicals based on estimates of exposure and exposure potential
Jade Mitchell, Jon A Arnot, Olivier Jolliet, et al.
Page
of 2