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(3) Translating computational exposure science and toxicology approaches into risk assessment and policy decision making.
- Corton CJ, et al. A Collaborative Initiative to Establish Genomic Biomarkers for Assessing Tumorigenic Potential to Reduce Reliance on Conventional Rodent Carcinogenicity Studies. Toxicol Sci. 2022 Jun 28;188(1):4-16.
- Zavala J, Freedman A, Jaspers I, Wambaugh JF, Higuchi M, Rager JE++. New Approach Methods to Evaluate Health Risks of Air Pollutants: Critical Design Criteria for In Vitro Exposure Testing. Int J Environ Res Public Health. 2020 Mar 23;17(6).
- Wambaugh JF, Rager JE++. Exposure forecasting – ExpoCast – for data-poor chemicals in commerce and the environment. J Expo Sci Environ Epidemiol. 2022 Nov;32(6):783-793. doi: 10.1038/s41370-022-00492-z. PMID: 36347934. PMCID: PMC9742338.
- Ring C, Sipes NS, Hsieh JH, Carberry C*, Koval LE*, Klaren WD, Harris MA, Auerbach SS, Rager JE++. Predictive modeling of biological responses in the rat liver using in vitro Tox21 bioactivity: Benefits from high-throughput toxicokinetics. Comput Toxicol. 2021 May;18:100166. PMID: 34013136; PMCID: PMC8130852.
- Fry RC, Bangma J, Szilagyia J, Rager JE++. Developing novel in vitro methods for the risk assessment of developmental and placental toxicants in the environment. Toxicol Appl Pharmacol. 2019 Sep 1;378:114635. PMID: 31233757. PMCID: PMC6684208.
- Wikoff D, Rager JE, Chappell GA, Fitch S, Haws L, Borghoff S. A framework for systematic evaluation and quantitative integration of mechanistic data in assessments of potential human carcinogens. Toxicol Sci. 2019 Feb 1;167(2):322-335. PMID: 30423162.
- Rager JE, Auerbach SS, Chappell GA, Martin E, Thompson CM, Fry RC. Benchmark Dose Modeling Estimates of the Concentrations of Inorganic Arsenic That Induce Changes to the Neonatal Transcriptome, Proteome, and Epigenome in a Pregnancy Cohort. Chem Res Toxicol. 2017 Oct 16;30(10):1911-1920. PMID: 28927277.