The field of risk assessment is changing rapidly as the "omics" revolution and the burgeoning field of molecular toxicology provide a wealth of data that were not traditionally available. The Risk Science Center's research seeks to enhance the use of data on mode and mechanism of action to inform qualitative and quantitative aspects of risk assessment. We do this by designing targeted studies and decision frameworks to address key MOA questions, incorporating biomarker data to extend the dose-response curve using advanced PBPK and BBDR modeling approaches, and developing approaches to evaluate health risk assessment for potentially-susceptible populations and other areas of uncertainty in risk assessment.
Expertise: Emerging Risk Issues
The Center stays at the cutting edge of developing issues. For example, current work projects address novel techniques related to modeling chemical mixtures, assessment issues for human variability in sensitivity, and methods to address complex temporal exposure patterns.
Expertise: Mode of Action (MOA) Analysis and Dose-Response Frameworks
Evaluation of mode of action (MOA) plays a critical role in both hazard characterization and dose-response portions of assessments. The Center can work with interested parties to design and conduct studies targeted to address key MOA questions. We have active research projects aimed at developing approaches to quantitatively describe the dose-response relationship for chemicals with multiple MOAs.
Expertise: Quantitative Assessment
Quantitative risk analysis provides data based risk estimates derived using mathematical modeling and
statistical analysis of experimental toxicity data. Our scientists have extensive experience with the tools of quantitative risk analysis, and continue to research and develop new analytical methods to improve risk assessment.
- Assumptions in Dose-Response Assessment
- Evolution of Science-Based Uncertainty Factors Description
- Evolution of Science-Based Uncertainty Factors in Noncancer Risk Assessment
- Comparative Dietary Risk: Balancing the Risks and Benefits of Fish Consumption - Description
- Guidelines for Application of Data-Derived Uncertainty Factors in Risk Assessment
- Studies of Copper Toxicity and Nutritional Supplements
- Determination of an Acute No-Observed-Adverse-Effect Level (NOAEL) for Copper in Water.>
- Acute No-Observed-Adverse-Effect Level (NOAEL) and Low-Observed-Adverse-Effect Level (LOAEL) for Copper in Bottled Drinking Water in a Multi-site International Study.>