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Exposure-Based Screening and Priority-Setting (WC10)
Wambaugh, J., D. Kapraun, K. Isaacs, J. Sobus, K. Phillips, AND Woodrow Setzer. Exposure-Based Screening and Priority-Setting (WC10). Presented at World Congress on Alternatives and Animal Use in the Life Sciences, Seattle, WA, August 20 - 24, 2017.
This abstract is for a presentation to the 10th World Congress on Alternatives and Animal Use in the Life Sciences to be held in in Seattle, WA, August 20-24, 2017. The presentation was invited to be part of a session on "Considerations of Exposure, Dose, and Metabolism in 3R's" organized by John Wambaugh and Nynke Kramer.
The U.S. National Academy of Sciences report “Using 21st Century Science to Improve Risk-Related Evaluations” recognized that high-throughput screening (HTS) and exposure prediction tools are necessary to prioritize thousands of chemicals with the potential to pose human health risk. High-throughput models, utilizing machine learning tools, can now predict human exposure rates based upon chemical structure and use, thus filling critical gaps for thousands of compounds. These models can be calibrated to existing exposure monitoring data, allowing evaluation of their predictive ability and empirical assessment of their certainty. These tools provide real-world context for in vitro HTS efforts. In addition, new informatics tools, along with non-targeted analytical chemistry methods, allow surveillance of the environment to identify new candidates for HTS. Together, exposure prediction and surveillance allow HTS to be more timely and relevant to human health risks. This abstract does not necessarily reflect U.S. EPA policy.
URLs/Downloads:WAMBAUGH-EXPOSURE-DRAFT2.PDF (PDF,NA pp, 1231.685 KB, about PDF)
WCA-EXPOSURE2.PDF (PDF,NA pp, 72.741 KB, about PDF)
Record Details:Record Type: DOCUMENT (PRESENTATION/SLIDE)
Organization:U.S. ENVIRONMENTAL PROTECTION AGENCY
OFFICE OF RESEARCH AND DEVELOPMENT
NATIONAL CENTER FOR COMPUTATIONAL TOXICOLOGY