Caroline Ring

Publications

• A Cheminformatics Workflow for Higher-throughput Modeling of Chemical Exposures from Biosolids
• treecompareR: Tree Visualizations of Chemical Space
• Uncertainty estimation strategies for quantitative non-targeted analysis
• High-throughput PBTK models for in vitro to in vivo extrapolation
• Identifying populations sensitive to environmental chemicals by simulating toxicokinetic variability
• High-Throughput Screening Data Interpretation in the Context of In Vivo Transcriptomic Responses to Oral Cr(VI) Exposure
• A Method for Identifying Prevalent Chemical Combinations in the U.S. Population
• In vitro to in vivo extrapolation for high throughput prioritization and decision making
• Consensus Modeling of Median Chemical Intake for the U.S. Population Based on Predictions of Exposure Pathways
• A Simple Physiologically Based Toxicokinetic Model for Multi-Route In Vitro–In Vivo Extrapolation
• Simulating toxicokinetic variability to identify susceptible and highly exposed populations
• Assessing Toxicokinetic Uncertainty and Variability in Risk Prioritization
• Bioaccessibility and relative oral bioavailability of cobalt and nickel in residential soil and dust affected by metal grinding operations
• Assessing children's exposure to manganese in drinking water using a PBPK model
• Enabling transparent toxicokinetic modeling for public health risk assessment
• 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
• Chemistry domain of applicability evaluation against existing estrogen receptor high-throughput assay-based activity models
• High-throughput screening tools facilitate calculation of a combined exposure-bioactivity index for chemicals with endocrine activity
• Systematic update to the mammalian relative potency estimate database and development of best estimate toxic equivalency factors for dioxin-like compounds
• Comparison of Gene Expression Responses in the Small Intestine of Mice Following Exposure to 3 Carcinogens Using the S1500+ Gene Set Informs a Potential Common Adverse Outcome Pathway
• Evaluating in vitro-in vivo extrapolation of toxicokinetics
• Identifying attributes that influence in vitro -to- in vivo concordance by comparing in vitro Tox21 bioactivity versus in vivo drugmatrix transcriptomic responses across 130 chemicals
• Exposure Prioritization (Ex Priori): A Screening-Level High-Throughput Chemical Prioritization Tool
• Estimation of species- and sex-specific PFAS pharmacokinetics in mice, rats, and non-human primates using a Bayesian hierarchical methodology
• Comparing the Predictivity of Human Placental Gene, microRNA, and CpG Methylation Signatures in Relation to Perinatal Outcomes
• Optimizing androgen receptor prioritization using high-throughput assay-based activity models
• The environmental neuroactive chemicals list of prioritized substances for human biomonitoring and neurotoxicity testing: A database and high-throughput toxicokinetics approach
• TAME 2.0: expanding and improving online data science training for environmental health research
• A multi-tiered hierarchical Bayesian approach to derive toxic equivalency factors for dioxin-like compounds
• Development of a range of plausible noncancer toxicity values for 2,3,7,8-tetrachlorodibenzo-p-dioxin based on effects on sperm count: Application of systematic review methods and quantitative integration of dose response using meta-regression
• Development and application of a systematic and quantitative weighting framework to evaluate the quality and relevance of relative potency estimates for dioxin-like compounds (DLCs) for human health risk assessment
• Cutting-edge computational chemical exposure research at the U.S. Environmental Protection Agency
• Physiologically based pharmacokinetic model for ethyl tertiary-butyl ether and tertiary-butyl alcohol in rats: Contribution of binding to α2u–globulin in male rats and high-exposure nonlinear kinetics to toxicity and cancer outcomes
• Enabling Transparent Toxicokinetic Modeling for Public Health Risk Assessment
• Predictive modeling of biological responses in the rat liver using in vitro Tox21 bioactivity: Benefits from high-throughput toxicokinetics
• Hexavalent chromium and stomach cancer: a systematic review and meta-analysis
• Development of an oral reference dose for the perfluorinated compound GenX
• The chemical landscape of high-throughput new approach methodologies for exposure
• Application of qualitative and quantitative uncertainty assessment tools in developing ranges of plausible toxicity values for 2,3,7,8-tetrachlorodibenzo-p-dioxin
• New approach methodologies for exposure science
• Informatics for toxicokinetics
• Monte Carlo for variability simulation and uncertainty (SETAC 2021)
• Placing toxicology data in the context of exposure
• Risk Prioritization using Toxicokinetic NAMs to Get Answers for Populations
• Monte Carlo for variability simulation and uncertainty
• Theory, Practice, and Exercises in Toxicokinetics
• Toxicokinetics
• Development of the dioxin toxicity equivalence factors (TEFs): an international example
• treecompareR: an open-source software package to visualize hierarchical chemical classifications
• R Package “HTTK” for High-Throughput IVIVE
• A cheminformatics workflow for higher-throughput modeling of chemical exposures from biosolids
• A cheminformatics workflow for higher-throughput modeling of chemical exposures from biosolids
• A Cheminformatics Workflow for Higher-Throughput Modeling of Chemical Exposures from Biosolids
• treecompareR:an open-source software package to visualize hierarchical chemical classification
• A cheminformatics workflow for higher-throughput modeling of chemical exposures from biosolids
• ctxR: an R package for accessing the CTX APIs
• Guide to High Throughput Toxicokinetic (HTTK) Parameters
• treecompareR:an open-source software package to visualize hierarchical chemical classification
• New approach methodologies to inform chemical risk assessment
• Encoding Exposure Pathways as Hierarchical Binary Descriptors for Chemical Source Identification in Non-Targeted Analysis
• EPA’s ExpoCastProject: Advancing Chemical Evaluation with New Approach Methods for Exposure
• A Simple Physiologically-Based Toxicokinetic Model for Multi-Route In Vitro-In Vivo Extrapolation
• A Cheminformatics Workflow for Higher-Throughput Modeling of Chemical Exposures From Biosolids
• Table1_Chemistry domain of applicability evaluation against existing estrogen receptor high-throughput assay-based activity models.docx
• Biosolids Pollutant Prioritization
• Defining the Cutting-Edge to the US EPA's Computational Exposure Science
• Developing Generic Toxicokinetic Models with R Package “HTTK” for Enhanced Reporting Accuracy and Statistical Evaluation
• Informatics for Toxicokinetics with CvTdband invivoPKfit
• Application of Metamodeling Approaches to Improve Cohort-Specific High-Throughput Exposure Predictions
• Characterizing pathways of exposure for risk-based chemical prioritization
• Characterizing Pathways of Exposure for Risk-Based Chemical Prioritization
• Improving Computational Derivation of PFAS Toxicokinetic Half-Lives
• Constructing an Enzyme Ontogeny Database to Improve Characterization of Toxicokinetic Lifestage Differences
• Methods to Expand and Improve CvTdb: A Publicly Available Resource of Toxicokinetic Data
• Modelling kinetics and dynamics of chemicals at the U.S. Environmental Protection Agency using the httk open-source platform
• DataSheet3_Chemistry domain of applicability evaluation against existing estrogen receptor high-throughput assay-based activity models.XLSX
• Table1_Optimizing androgen receptor prioritization using high-throughput assay-based activity models.xlsx
• Human Exposure Prioritization using High-Throughput Toxicokinetics and Inferences for Volatile, Semi-volatile, and Non-volatile Environmental Chemicals
• DataSheet2_Chemistry domain of applicability evaluation against existing estrogen receptor high-throughput assay-based activity models.XLSX
• Table6_Optimizing androgen receptor prioritization using high-throughput assay-based activity models.xlsx
• Table2_Optimizing androgen receptor prioritization using high-throughput assay-based activity models.xlsx
• DataSheet1_Chemistry domain of applicability evaluation against existing estrogen receptor high-throughput assay-based activity models.XLSX
• A Vision for Next Generation Risk Assessment at the U.S. Environmental Protection Agency
• Table4_Optimizing androgen receptor prioritization using high-throughput assay-based activity models.docx
• Table5_Optimizing androgen receptor prioritization using high-throughput assay-based activity models.xlsx
• Table3_Optimizing androgen receptor prioritization using high-throughput assay-based activity models.docx
• Recent Developments in High-Throughput Toxicokinetics
• An informatics framework for toxicokinetics using the CvT database and invivoPKfit
• Presentation 1_TAME 2.0: expanding and improving online data science training for environmental health research.pptx
• EPA's Concentration versus Time Database: A Resource for Extrapolating Toxicokinetic Trends Across Chemicals
• Data Sheet 1_TAME 2.0: expanding and improving online data science training for environmental health research.docx
• Table 1_TAME 2.0: expanding and improving online data science training for environmental health research.xlsx
• Predicting Exposure Pathways Allows Risk-Based Prioritization
• HTTK and HTTK-Pop: open-source software for simulation of population variability in high-throughput toxicokinetic modeling for in vitro-in vivo extrapolation and rapid chemical prioritization (SOT 2021)
• Monte Carlo for uncertainty and variability simulation in high-throughput toxicokinetic modeling
• High-Throughput Toxicokinetics
• Human variability in high-throughput risk prioritization of environmental chemicals
• High-throughput Toxicokinetics
• Machine Learning in Predictive Toxicology: An Overview And Case Study
• Machine Learning in Predictive Toxicology: An Overview And Case Study
• Program Office Collaboration: Biosolids Evaluation
• Towards characterizing the galaxies of biosolids chemical classes across the chemical universe
• Predicting biosolids chemical concentrations requires identifying and bridging data gaps
• Towards characterizing the galaxies of biosolids chemical classes across the chemical universe
• Towards characterizing the galaxies of biosolids chemical classes across the chemical universe
• Incorporating Population Variability in Toxicokinetic Modeling for Risk-Based Prioritization
• Inter-individual variability in high-throughput risk prioritization of environmental chemicals
• US EPA’s ExpoCast program: New approach methodologies for exposure
• EPA’s Systematic Empirical Evaluation of Models (SEEM) Framework
• Utility of NAMs for risk-based prioritization
• Evaluating chemical contaminants in biosolids: A collaboration between EPA’s Center for Computational Toxicology and Exposure and EPA’s Office of Water
• Ex Priori: A Screening-Level Chemical Prioritization Dashboard for Consumer Exposures
• High Throughput Determinations of Critical Dosing Parameters
• US EPA’s ExpoCast program: New approach methodologies for exposure
• Update of Open Source Population Variability Simulator for Toxicokinetic Modeling
• Simulating Human Variability in Toxicokinetics with R Package “HTTK”
• EPA’s HTTK Research: In vitro Data and Generic TK Models for IVIVE
• Evaluating chemical contaminants in biosolids: A collaboration between EPA’s Center for Computational Toxicology and Exposure and EPA’s Office of Water
• Predicting Exposure Pathways with Machine Learning
• High-Throughput Toxicokinetics Exposure Inference for Environmental Chemicals
• Evaluating High Throughput Toxicokinetics and Toxicodynamics for IVIVE
• Estimating Uncertainty of Predicted Chemical Concentrations Via Quantitative Non-Targeted Analysis
• The Chemical Landscape of High-Throughput New Approach Methodologies for Exposure
• Predictive Models for Chemical Occurrence in Environmental and Biological Media
• Estimating Uncertainty of Predicted Chemical Concentrations via Quantitative Non-Targeted Analysis
• High Throughput Determinations of Critical Dosing Parameters
• Systematic Empirical Evaluation of Models to Inform Risk Prioritization
• Quantitative Non-Targeted Analysis: From Data to Decisions
• ctxR: Utilities for interacting with the CTX APIs
• High-throughput PBTK models for in vitro to in vivo extrapolation
• Modelling kinetics and dynamics of chemicals at the US-EPA using the httk open-source platform
• Transcriptomic Responses in the Oral Cavity of F344 Rats and B6C3F1 Mice Following Exposure to Cr(VI): Implications for Risk Assessment
• Variability of action potential duration in pharmacologically induced Long QT Syndrome Type 1