Simulating toxicokinetic variability to identify susceptible and highly exposed populations.
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| Title: | Simulating toxicokinetic variability to identify susceptible and highly exposed populations. |
|---|---|
| Authors: | Breen M; Center for Computational Toxicology and Exposure, US Environmental Protection Agency, Research Triangle Park, NC, USA., Wambaugh JF; Center for Computational Toxicology and Exposure, US Environmental Protection Agency, Research Triangle Park, NC, USA., Bernstein A; Oak Ridge Institute for Science and Education (ORISE) fellow at the Center for Public Health and Environmental Assessment, Research Triangle Park, NC, USA., Sfeir M; Oak Ridge Institute for Science and Education (ORISE) fellow at the Center for Computational Toxicology and Exposure, Research Triangle Park, NC, USA., Ring CL; Center for Computational Toxicology and Exposure, US Environmental Protection Agency, Research Triangle Park, NC, USA. Ring.Caroline@epa.gov. |
| Source: | Journal of exposure science & environmental epidemiology [J Expo Sci Environ Epidemiol] 2022 Nov; Vol. 32 (6), pp. 855-863. Date of Electronic Publication: 2022 Nov 03. |
| Publication Type: | Journal Article; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: United States NLM ID: 101262796 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1559-064X (Electronic) Linking ISSN: 15590631 NLM ISO Abbreviation: J Expo Sci Environ Epidemiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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