Publications

Feifarek D, Kennedy S, Panko J. Mechanistic evaluation of 6PPD-quinone toxicity in fish. Abstract 4.22.B.T-03, Society of Environmental Toxicology and Chemistry, 45^th Annual Meeting, Fort Worth, TX, October 2024.

Bare J, Kennedy SB, Feifarek D, Panko J. Quality and reliability evaluation of 6PPD-quinone surface water occurrence data and considerations for use in risk assessment. Abstract 4.22.P-Mo-119, Society of Environmental Toxicology and Chemistry, 45^th Annual Meeting, Fort Worth, TX, October 2024.

Borghoff SJ, Feifarek D, Mihalchik A, Heintz M, Haws L, Nyambego H, Goyak K, Lea IA. Evaluation of the endocrine disrupting potential of di-isononyl phthalate. Abstract 3931, Society of Toxicology Annual Meeting, Salt Lake City, UT, March 2024. 

Lea IA, Feifarek D, Mihalchik A, Heintz M, Haws L, Nyambego H, Goyak K, Borghoff SJ. Evaluation of the endocrine disrupting potential of di-isodecyl phthalate. Abstract 3930, Society of Toxicology Annual Meeting, Salt Lake City, UT, March 2024.

Racz L, Gauthier A, Bare J, Heintz M, Feifarek D, Kennedy S, Panko J. 2024. Assessment of perfluorocarboxylic acids in fluorinated high-density polyethylene containers and estimation of potential non-cancer risks associated with anticipated use scenarios. Regul Toxicol Pharmacol 147:105560; doi: 10.1016/j.yrtph.2024.105560.

Maloney E, Villeneuve DL, Jensen KM, Blackwell BR, Kahl MD, Poole ST, Vitense K, Feifarek DJ, Patlewicz G, Tilton C, Dean K, Randolph EC, Cavallin JE, LaLone CA, Schaupp C, Ankley GT. 2023. Evaluation of complex mixture toxicity in the Milwaukee Estuary (WI, USA) using whole-mixture and component-based evaluation methods. Environ Toxicol Chem 42(6):1229–1256.

Villeneuve DL, Blackwell BR, Blanksma C, Cavallin JE, Cheng W, Conolly R, Conrow K, Feifarek DJ, Heinis L, Jensen KM, Kahl MD, Milsk RY, Poole ST, Randolph EC, Saari TW, Watanabe K, Ankley GT. 2022. Case study in 21st century ecotoxicology: Using in vitro aromatase inhibition data to predict reproductive outcomes in fish, in vivo. Environ Toxicol Chem 42(1):100–116.

Garcia-Reyero N, Arick M II, Woolard A, … Feifarek DJ, et al. 2022. Male fathead minnow transcriptomes and associated chemical analytes in the Milwaukee estuary system. Scientific Data SDATA-20-00107D.

Zorn K*, Foil DH, Lane TR, Hillwalker WE, Feifarek DJ, Jones FA, et al. 2021. Machine learning model comparisons for endocrine disruption prediction. 19th International Workshop on (Quantitative) Structure-Activity Relationships in Environmental and Health Sciences, virtual.

Urbino F*, Zorn K, Foil DH, Lane TR, Hillwalker WE, Feifarek DJ, et al. Evaluating multiple machine learning models for endocrine disruption predictions. SETAC North America 42nd Annual Meeting, virtual, 2021.

Maloney E*, Ankley GT, Blackwell BR, Cavallin JE, Feifarek DJ, Kahl MD, et al. Evaluation of complex mixture toxicity: An effects-driven analysis in the Milwaukee Estuary area of concern (Milwaukee, WI). SETAC North America 42nd Annual Meeting, virtual, 2021.

Ankley GT, Berninger JP, Blackwell BR, Cavallin JE, Collette TW, Ekman DR, Fay KA, Feifarek DJ, Jensen KM, Kahl MD, Mosley JD, Poole ST, Randolph EC, Rearick D, Schroeder AL, Swintek J, Villeneuve DL. 2021. Pathway-based approaches for assessing biological hazards of complex mixtures of contaminants: A case study in the Maumee River. Environ Toxicol Chem 40:1090–1122.

Villeneuve DL, Blackwell BR, Cavallin JE, Cheng W, Feifarek DJ, Jensen KM, Kahl MD, Milsk RY, Poole ST, Randolph EC, Saari TW, Ankley GT. 2021. Case study in 21st Century ecotoxicology: Using in vitro aromatase inhibition data to predict short term in vivo responses in adult female fish. Environ Toxicol Chem 40:1155–1170.

Zorn KM, Foil DH, Russo DP, Clark AM, Hillwalker W, Feifarek D, Jones F, Klaren W, Brinkman A, Ekins S. Generation of machine-learning models to anticipate endocrine disruption. Society of Toxicology Annual Meeting, virtual, 2020.

Brinkman AM*, Klaren WD*, Feifarek DJ, Hillwalker W, Jones F, Zorn KM, Ekins S. Use of a weighted scheme for the interpretation and contextualization of in vitro and in silico-derived estrogenic endpoints. Society of Toxicology Annual Meeting, virtual (*equal contributors), 2020.

Zorn KM, Foil DH, Lane TR, Russo DP, Hillwalker W, Feifarek DJ, Jones F, Klaren WD, Brinkman AM, Ekins S. 2020. Machine learning models for estrogen receptor bioactivity and endocrine disruption prediction. Environ Sci Technol 54(19):12202–12213, PMID: 32857505.

Zorn KM, Foil DH, Lane TR, Hillwalker W, Feifarek DJ, Jones F, Klaren WD, Brinkman AM, Ekins S. 2020. Comparing machine learning models for aromatase (P450 19A1). Environ Sci Technol 54(23):15546–15555, PMID: 33207874.

Zorn KM, Foil DH, Lane TR, Hillwalker W, Feifarek DJ, Jones F, Klaren WD, Brinkman AM, Ekins S. 2020. Comparison of machine learning models for the androgen receptor. Environ Sci Technol 54(21):13690–13700, PMID: 33085465.

Maloney E*, Ankley GT, Blackwell BR, Cavallin JE, Feifarek DJ, Kahl MD, et al. Effects-based monitoring under the Great Lakes Restoration Initiative: Evaluation of spatial and temporal patterns in the Milwaukee Estuary. SETAC North America 41st Annual Meeting (SETAC SciCon2), virtual, 2020.

Zorn K*, Foil DH, Lane TR, Hillwalker WE, Feifarek DJ, Jones FA, et al. Applying multiple machine learning methods to predict endocrine disruption. SETAC North America 41st Annual Meeting (SETAC SciCon2), virtual, 2020.