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Looking Beyond the Lamppost: High Throughput Measurement and Modeling for Chemical Prioritization
Citation:
Wambaugh, J. Looking Beyond the Lamppost: High Throughput Measurement and Modeling for Chemical Prioritization. Presented at ILSI: Scientific Advances and Challenges in Safety Evaluation of Food Packaging Materials, DC, Washington, April 02 - 03, 2019. https://doi.org/10.23645/epacomptox.8023832
Impact/Purpose:
This is a presentation to the ILSI North America 2019 Food Packaging Conference: Scientific Advances and Challenges in Safety Evaluation of Food Packaging Materials. The meeting takes place on April 2-3, 2019 in Washington DC. The conference organizers are interested in new approach methodologies being considered by EPA for hazard, toxicokinetics, and exposure.
Description:
The U.S. National Academy of Sciences report “Using 21st Century Science to Improve Risk-Related Evaluations” recognized that high-throughput screening and high-throughput exposure prediction tools are both necessary to prioritize thousands of chemicals with respect to public health risk. High-throughput models based upon machine learning can estimate human exposure rates. Models currently exist for four sources of exposure: industrial manufacturing, pesticide use, consumer products, and diet. Of the four current pathways, diet is currently the least well covered by mechanistic exposure models. Machine learning models can only predict sources of exposure when given appropriate training data. These data may be obtained from databases or chemical surveillance of relevant media. Many of these data are limited to occurrence of chemicals in products, which is a prerequisite to, but does not guarantee exposure. To address the thousands of chemical-formulation combinations, models of migration or emission of chemicals are needed. Ultimately, exposure prediction and surveillance should allow prioritization of potential risk posed to public health. This abstract does not necessarily reflect U.S. EPA policy.
URLs/Downloads:
DOI: Looking Beyond the Lamppost: High Throughput Measurement and Modeling for Chemical Prioritization
FOODPACKAGING-WAMBAUGH-040219-LOWRES.PDF (PDF, NA pp, 5369.472 KB, about PDF)