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High Throughput Exposure Models and the Systematic Empirical Evaluation of Models (SEEM) Framework
Citation:
Wambaugh, J. High Throughput Exposure Models and the Systematic Empirical Evaluation of Models (SEEM) Framework. U.S. EPA ORD, CSS Research Program Board of Scientific Counselors (BOSC) Chemical Safety Subcommittee Meeting, Virtual, NC, February 02 - 05, 2021. https://doi.org/10.23645/epacomptox.13713694
Impact/Purpose:
Presentation to the U.S. EPA ORD, CSS Research Program Board of Scientific Counselors (BOSC) Chemical Safety Subcommittee Meeting February 2021
Description:
Chemical evaluations require information to estimate exposure via a variety of high-priority pathways, including scenario-specific data and models particular to consumer products and materials in the indoor environment, as well as occupational, ambient and ecological pathways. The US EPA Center for Computational Toxicology and exposure is working to develop consensus exposure models for various exposure pathways (for example, consumer, occupational, ambient, indoor environment, and ecological scenarios) that enable high throughput exposure predictions for chemicals. New approach methodologies (NAMs) are a primary driver for experimentation, this presentation will highlight the Systematic Empirical Evaluation of Models (SEEM) Framework and other high throughput exposure models.
URLs/Downloads:
DOI: High Throughput Exposure Models and the Systematic Empirical Evaluation of Models (SEEM) Framework
WAMBAUGH CSS-BOSC-FEB2021-HTEXPOSUREMODELS-DRAFT6.PDF (PDF, NA pp, 3362.691 KB, about PDF)