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Application of high-density data for hazard prediction, safety assesment, and risk characterization
Citation:
WOLF, D. Application of high-density data for hazard prediction, safety assesment, and risk characterization. Presented at Latin American Socieity of Toxicological Pathology, Sao Paoulo, BRAZIL, March 18 - 22, 2010.
Impact/Purpose:
This presentation will provide examples of current programs and techniques that were developed to create predicting models for designing a targeted testing program that results in providing the biological understanding for determining human health risk and informing quantitative risk assessments.
Description:
There are long lists of chemicals that require some level of evaluation for safety determination. These include the European Union’s Registration, Evaluation, Authorization and Restriction of Chemical substances (REACH) program, Environment Canada’s existing substances evaluation, and the U.S. EPA’s high and medium production volume chemicals, list of pesticidal inerts and water contaminants. It is obvious one cannot perform the standard battery of in vivo animal tests to evaluate the toxicity of each chemical. This presentation will provide examples of current programs and techniques that were developed to create predicting models for designing a targeted testing program that results in providing the biological understanding for determining human health risk and informing quantitative risk assessments.