Publication Topic

Racz L, Mittal L, Perry CS, Blanchette A, Proctor D. Assessing sustainable applications of electric arc furnace steel slag as construction aggregate: Applications of probabilistic risk assessment and physiologically-based pharmacokinetic modeling. Poster presented at Society of Environmental Toxicology and Chemistry North America 44^th Annual Meeting, Louisville, KY, November 2023.

Perry CS, Blanchette AD, Vivanco SN, Verwiel AH, Proctor DM. 2023. Use of physiologically based pharmacokinetic modeling to support development of an acute (24-hour) health-based inhalation guideline for manganese. Regul Toxicol Pharmacol 145:105518; doi: 10.1016/j.yrtph.2023.105518. PMID: 3786341.

Thompson CM, Kirman C, Harris MA. 2023. Derivation of oral cancer slope factors for hexavalent chromium informed by pharmacokinetic models and in vivo genotoxicity data. Regul Toxicol Pharmacol 145(Dec):105521; doi: 10.1016/j.yrtph.2023.105521. PMID: 37863416.

Patlewicz G, Paul Friedman K, Houck K, Zhang L, Huang R, Xia M, Brown J, Simmons SO. 2023. Evaluating the utility of a high throughput thiol-containing fluorescent probe to screen for reactivity: A case study with the Tox21 library. Comput Toxicol 26(May):100271; doi: 10.1016/j.comtox.2023.100271. PMID: 37388277.

Zwickl CM, Graham JC, Holly RA, Bassan A, Ahlberg E, Amberg A, Anger LT,.., Patlewicz G, et al. 2022. Principles and procedures for assessment of acute toxicity incorporating in silico methods. Comput Toxicol 24(Nov):100237; doi: 10.1016/j.comtox.2022.100237. PMID: 36818760.

Ring C, Sipes NS, Hsieh JH, Carberry C, Koval LE, Klaren WD, Harris MA, Auerbach SS, Rager JE. 2021. Predictive modeling of biological responses in the rat liver using in vitro Tox21 bioactivity: Benefits from high throughput toxicokinetics. Comput Toxicol 18(May):100166; doi: 10.1016/j.comtox.2021.100166. PMID: 34013136.

Mansouri K, Karmaus A, Fitzpatrick J, Patlewicz G, Pradeep P, Alberga D et al. 2021. CATMoS: Collaborative acute toxicity modeling suite. Environ Health Perspect 129(4):47013; doi: 10.1289/EHP8495. PMID: 33929906.

Dirven H, Vist GE, Bandhakavi S, Mehta J, Fitch SE, Pound P, Ram R, Kincaid B, Leenaars CHC, Chen M, Wright RA, Tsaioun K. 2021. Performance of preclinical models in predicting drug-induced liver injury in humans: A systematic review. Sci Reports 11(1)6403; doi: https://doi.org/10.1038/s41598-021-85708-2. PMID: 33737635.

Brozek JL, Canelo-Aybar C, Akl EA, Bowen JM, Bucher J, Chiu WA, Cronin M, Djulbegovic B,…, Patlewicz G, et al. 2021. GRADE Guidelines 30: The GRADE approach to assessing the certainty of modeled evidence—An overview in the context of health decision-making. J Clin Epidemiol 129(Jan):138-150; doi: 101016/j.jclinepi.2020.09.018. PMID: 32980429.

Eichenbaum G, Yang K, Gebremichael Y, Howell BA, Murray FJ, Jacobson-Kram D, Jaeschke H, Kuffner E, Gelotte CK, Lai JCK, Wikoff D, Atillasoy E. 2020. Application of the DILIsym® Quantitative Systems Toxicology drug-induced liver injury model to evaluate the carcinogenic hazard potential of acetaminophen. Regul Toxicol Pharmacol 118(Dec):104788; doi: 10.1016/j.yrtph.2020.104788. PMID: 33153971.