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Frontiers in Public Health
|
September 23, 2016
The Use of Signal-Transduction and Metabolic Pathways to Predict Human Disease Targets from Electric and Magnetic Fields Using in vitro Data in Human Cell Lines
Fred Parham, Christopher J Portier, Xiaoqing Chang, et al.
Journal of Biomolecular Screening
|
October 16, 2009
Dose-response modeling of high-throughput screening data
Fred Parham, Chris Austin, Noel Southall, et al.
Environmental Health Perspectives
|
July 8, 2016
Comparison of Points of Departure for Health Risk Assessment Based on High-Throughput Screening Data
Salomon Sand, Fred Parham, Christopher J Portier, et al.
Neurotoxicology
|
January 28, 2021
Evaluation of chemical compounds that inhibit neurite outgrowth using GFP-labeled iPSC-derived human neurons
Shuaizhang Li, Li Zhang, Ruili Huang, et al.
Bioinformatics (Oxford, England)
|
January 9, 2025
Bayesian gene set benchmark dose estimation for "omic" responses
Daniel Zilber, Kyle P Messier, John House, et al.
Neurotoxicology
|
February 9, 2016
Neurite outgrowth in human induced pluripotent stem cell-derived neurons as a high-throughput screen for developmental neurotoxicity or neurotoxicity
Kristen R Ryan, Oksana Sirenko, Fred Parham, et al.
The Science of the Total Environment
|
September 24, 2022
A geospatial modeling approach to quantifying the risk of exposure to environmental chemical mixtures via a common molecular target
Kristin M Eccles, Agnes L Karmaus, Nicole C Kleinstreuer, et al.
Environmental Research
|
July 10, 2012
Upstream adverse effects in risk assessment: a model of polychlorinated biphenyls, thyroid hormone disruption and neurological outcomes in humans
Amber Wise, Fred Parham, Daniel A Axelrad, et al.
Environmental Research
|
May 12, 2012
Adverse effects in risk assessment: modeling polychlorinated biphenyls and thyroid hormone disruption outcomes in animals and humans
Fred Parham, Amber Wise, Daniel A Axelrad, et al.
Toxicological Sciences : an Official Journal of the Society of Toxicology
|
February 20, 2025
Lessons learned from evaluating defined chemical mixtures in a high-throughput estrogen receptor assay system
Fred Parham, Kristin M Eccles, Cynthia V Rider, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 13) with videos related to
Sort By:
Page
of 2
Frontiers in Public Health
|
September 23, 2016
The Use of Signal-Transduction and Metabolic Pathways to Predict Human Disease Targets from Electric and Magnetic Fields Using in vitro Data in Human Cell Lines
Fred Parham, Christopher J Portier, Xiaoqing Chang, et al.
Journal of Biomolecular Screening
|
October 16, 2009
Dose-response modeling of high-throughput screening data
Fred Parham, Chris Austin, Noel Southall, et al.
Environmental Health Perspectives
|
July 8, 2016
Comparison of Points of Departure for Health Risk Assessment Based on High-Throughput Screening Data
Salomon Sand, Fred Parham, Christopher J Portier, et al.
Neurotoxicology
|
January 28, 2021
Evaluation of chemical compounds that inhibit neurite outgrowth using GFP-labeled iPSC-derived human neurons
Shuaizhang Li, Li Zhang, Ruili Huang, et al.
Bioinformatics (Oxford, England)
|
January 9, 2025
Bayesian gene set benchmark dose estimation for "omic" responses
Daniel Zilber, Kyle P Messier, John House, et al.
Neurotoxicology
|
February 9, 2016
Neurite outgrowth in human induced pluripotent stem cell-derived neurons as a high-throughput screen for developmental neurotoxicity or neurotoxicity
Kristen R Ryan, Oksana Sirenko, Fred Parham, et al.
The Science of the Total Environment
|
September 24, 2022
A geospatial modeling approach to quantifying the risk of exposure to environmental chemical mixtures via a common molecular target
Kristin M Eccles, Agnes L Karmaus, Nicole C Kleinstreuer, et al.
Environmental Research
|
July 10, 2012
Upstream adverse effects in risk assessment: a model of polychlorinated biphenyls, thyroid hormone disruption and neurological outcomes in humans
Amber Wise, Fred Parham, Daniel A Axelrad, et al.
Environmental Research
|
May 12, 2012
Adverse effects in risk assessment: modeling polychlorinated biphenyls and thyroid hormone disruption outcomes in animals and humans
Fred Parham, Amber Wise, Daniel A Axelrad, et al.
Toxicological Sciences : an Official Journal of the Society of Toxicology
|
February 20, 2025
Lessons learned from evaluating defined chemical mixtures in a high-throughput estrogen receptor assay system
Fred Parham, Kristin M Eccles, Cynthia V Rider, et al.
Page
of 2