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Medrxiv : the Preprint Server for Health Sciences
|
August 21, 2020
The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring county-level vulnerability using visualization, statistical modeling, and machine learning
Skylar W Marvel, John S House, Matthew Wheeler, et al.
Environmental Health Perspectives
|
January 5, 2021
The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring County-Level Vulnerability Using Visualization, Statistical Modeling, and Machine Learning
Skylar W Marvel, John S House, Matthew Wheeler, et al.
Environmental Health Perspectives
|
September 10, 2010
Endocrine profiling and prioritization of environmental chemicals using ToxCast data
David M Reif, Matthew T Martin, Shirlee W Tan, et al.
Environment International
|
July 21, 2022
Wildfires and extracellular vesicles: Exosomal MicroRNAs as mediators of cross-tissue cardiopulmonary responses to biomass smoke
Celeste K Carberry, Lauren E Koval, Alexis Payton, et al.
Frontiers in Toxicology
|
July 11, 2022
Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research
Kyle Roell, Lauren E Koval, Rebecca Boyles, et al.
Journal of Chemical Information and Modeling
|
February 17, 2026
Integrating qHTS and QSAR Models to Identify Safe GPCR-Targeted Compounds: A Focus on hERG-Dependent Cardiotoxicity
Xi Luo, Jinghua Zhao, Srilatha Sakamuru, et al.
Environmental Health Perspectives
|
July 27, 2011
Environmental impact on vascular development predicted by high-throughput screening
Nicole C Kleinstreuer, Richard S Judson, David M Reif, et al.
Chemical Research in Toxicology
|
April 25, 2013
Profiling 976 ToxCast chemicals across 331 enzymatic and receptor signaling assays
Nisha S Sipes, Matthew T Martin, Parth Kothiya, et al.
Toxicological Sciences : an Official Journal of the Society of Toxicology
|
August 30, 2011
Predictive models of prenatal developmental toxicity from ToxCast high-throughput screening data
Nisha S Sipes, Matthew T Martin, David M Reif, et al.
Plos One
|
February 3, 2015
Data-driven asthma endotypes defined from blood biomarker and gene expression data
Barbara Jane George, David M Reif, Jane E Gallagher, et al.
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of 14
Search research articles
Search
Showing results (91-100 of 134) with videos related to
Sort By:
Page
of 14
Medrxiv : the Preprint Server for Health Sciences
|
August 21, 2020
The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring county-level vulnerability using visualization, statistical modeling, and machine learning
Skylar W Marvel, John S House, Matthew Wheeler, et al.
Environmental Health Perspectives
|
January 5, 2021
The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring County-Level Vulnerability Using Visualization, Statistical Modeling, and Machine Learning
Skylar W Marvel, John S House, Matthew Wheeler, et al.
Environmental Health Perspectives
|
September 10, 2010
Endocrine profiling and prioritization of environmental chemicals using ToxCast data
David M Reif, Matthew T Martin, Shirlee W Tan, et al.
Environment International
|
July 21, 2022
Wildfires and extracellular vesicles: Exosomal MicroRNAs as mediators of cross-tissue cardiopulmonary responses to biomass smoke
Celeste K Carberry, Lauren E Koval, Alexis Payton, et al.
Frontiers in Toxicology
|
July 11, 2022
Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research
Kyle Roell, Lauren E Koval, Rebecca Boyles, et al.
Journal of Chemical Information and Modeling
|
February 17, 2026
Integrating qHTS and QSAR Models to Identify Safe GPCR-Targeted Compounds: A Focus on hERG-Dependent Cardiotoxicity
Xi Luo, Jinghua Zhao, Srilatha Sakamuru, et al.
Environmental Health Perspectives
|
July 27, 2011
Environmental impact on vascular development predicted by high-throughput screening
Nicole C Kleinstreuer, Richard S Judson, David M Reif, et al.
Chemical Research in Toxicology
|
April 25, 2013
Profiling 976 ToxCast chemicals across 331 enzymatic and receptor signaling assays
Nisha S Sipes, Matthew T Martin, Parth Kothiya, et al.
Toxicological Sciences : an Official Journal of the Society of Toxicology
|
August 30, 2011
Predictive models of prenatal developmental toxicity from ToxCast high-throughput screening data
Nisha S Sipes, Matthew T Martin, David M Reif, et al.
Plos One
|
February 3, 2015
Data-driven asthma endotypes defined from blood biomarker and gene expression data
Barbara Jane George, David M Reif, Jane E Gallagher, et al.
Page
of 14