Publications

Nagyal M, Kopanska K, Rovida C, Antignac E, Barton-Maclaren T, Congreave I, Escher SE,…, Patlewicz G, et al. From thresholds to odds: AI-enhanced applications of the threshold of toxicological concern (TTC) in modern risk assessment. Oral Session 3, Poster OR-12, American Society for Cellular and Computational Toxicology (ASCCT) 15^th Annual Meeting, Durham, NC, October 28, 2026.

Patlewicz G, Mihalchik AL. Refinement of the threshold of toxicological concern (TTC): A computational framework for cross-scheme comparison of TTC values. Poster Session 1, Poster 24, American Society for Cellular and Computational Toxicology (ASCCT) 15^th Annual Meeting, Durham, NC, October 27, 2026.

East A, Klaren W, Wikoff D, Patlewicz G. Identifying potential co-exposures with food additives using data mining and machine learning approaches across EPA’s Consumer Product Database (CPDat). Abstract M-36, Poster Session, International Society of Exposure Science (ISES) 2026 Annual Meeting, Vancouver, BC, Canada, October 5, 2026.

Patlewicz GY, Mihalchik AL. 2026. Revisiting the Threshold of Toxicological Concern: A computational framework for structural classification, cross-scheme comparison and opportunities for refinement. Comput Toxicol 39(Sept):100443; doi: 10.1016/j.comtox.2026.100443.

Patlewicz GY, Mihalchik AL, East A, Borghoff SJ, Thompson CM. 2026. Investigating the feasibility of deriving new environmentally relevant thresholds of Toxicological Concern (TTCs) from estimated chronic human equivalent benchmark dose (eBMD_HED) values. Comput Toxicol 38(June):100417; doi: 10.1016/j.comtox.2026.100417.

Fitch S, Lozy F, Mitchell C, Patlewicz G, Wood A. Use of new approach methodologies in the safety assessment of dietary supplements—Parts one and two. Webinar series, Council for Responsible Nutrition (CRN), Washington, DC, May 2026.

Patlewicz G, Mihalchik A, Thompson CM, East A, Borghoff S. Investigating the feasibility of deriving a new environmentally relevant Thresholds of Toxicological Concern (TTCs) from estimated human equivalent benchmark dose (eBMD_HED) values. Abstract 4013, Society of Toxicology 65^th Annual Meeting, San Diego, CA, March 2026.

Patlewicz G, Judson, Paul Friedman K, Wetmore BA, DeVito MJ, Harrill JA, Carstens KE, Houck KA, et al. 2026. Insights derived from testing a library of per- and polyfluoroalkyl substances (PFAS) in a battery of new approach methods (NAMs). J Toxicol Environ Health B 29(1):1-69; doi: 10.1080/10937404.2025.2521615. PMID: 40619890.

Wambaugh JF, Sipes NS, Padilla Mercado G, Arnot JA, Bertato L, Brown TN, Chirico N,…, Patlewicz G, et al. 2026. Collaborative evaluation of in silico predictions for high throughput toxicokinetics. Toxicol In Vitro 110(Jan):106150; doi: 10.1016/j.tiv.2025.106150. PMID: 40983213.

Patlewicz G, Charest N, Ross A, Bledsoe HC, Vidal J, Faramarzi S, Hagan B, Shah I. 2025. Building a compendium of expert driven read-across cases to facilitate an analysis of the contribution that different similarity contexts play in read-across performance. Comput Toxicol 35(Sept):100366; doi: 10.1016/j.comtox.2025.100366.

Nyffeler J, Harris FR, Willis C, Byrd G, Blackwell B, Escher BI, Kasparek A, Nichols J,…, Patlewicz G, et al. 2025. A combination of high-throughput in vitro and in silico new approach methods (NAMs) for ecotoxicology hazard assessment for fish. Environ Toxicol Chem 44(9):2599-2621; doi: 10.1093/etojnl/vgae083. PMID: 39937625.

Karamertzanis PG, Rasenberg M, Shah I, Patlewicz G. 2025. Modelling in vitro mutagenicity using multi-task deep learning and REACH data. Chem Res Toxicol 38(8):1382-1407; doi: 19.1021/acs.chemrestox.5c00152. PMID: 40680271.

Kenyon EM, DeVito MJ, Patlewicz G, Adams LD, Thomas RS, Ambroso JL, Yang X, Blake JC, et al. 2025. Subchronic toxicity of four per- and polyfluoroalkyl substances by oral exposure in Sprague Dawley rats. Toxics 13(7):524; doi: 10.3390/toxics13070524. PMID: 40710969.

Leary A, Shah I, Patlewicz G. 2025. An exploration of the use of hybrid fingerprints in Generalized Read-Across and their impact on predictive performance for selected in vivo toxicity outcomes. Comput Toxicol 34(June):100349; doi: 10.1016/j.comtox.2025.100349.

Hagan B, Shah I, Patlewicz G. 2025. Can graph similarity metrics be helpful for analogue identification as part of a read-across approach? Comput Toxicol 34(June):100353; doi: 10.1016/j.comtox.2025.100353.

Hughes MF, DeVito MJ, Patlewicz G, Thomas RS, Adams LD, Ambroso JL, Yang X, Upadhyay BG, et al. 2025. Immunotoxicity of four per- and polyfluoroalkyl substances following 28-day oral repeat dosing in rats assessed by the anti-sheep red blood IgM response. Toxics 13(6):490; doi: 10.3390/toxics13060490. PMID: 40559963.

Hagan B, Groff L, Patlewicz G, Shah. 2025. Toward metabolic similarity in read-across: A case study using graph convolutional networks to predict genotoxicity outcomes. Chem Res Toxicol 38(6):1122-1133; doi: 10.1021/acs.chemrestox.5c00120. PMID: 40432291.

Payton A, Hickman, Chappel J, Roell KR, Koval LA, Eaves LA, Chou CK,…, Patlewicz G, et al. 2025. TAME 2.0: Expanding and improving online data science training for environmental health research. Front Toxicol 7(Feb 12):1535098; doi: 10.3389/ftox.2025.1535098. PMID: 40012886.

Patlewicz G, Williams AJ, Adams M, Shah I, Paul-Friedman K. 2025. A cheminformatics workflow to select representative TSCA chemicals for New Approach Methodology (NAM) screening. Chem Res Toxicol 38(1):129-144; doi: 10.1021/acs.chemrestox.4c00367. PMID: 39655894.

Firman JW, Boobis A, Hollnagel HM, Kaiser S, Lovell DP, Moretto A, Muller S,…, Patlewicz G. 2024. Evaluating the consistency of judgements derived through both in silico and expert application of the Cramer classification scheme. Food Chem Toxicol 194(Dec):115070; doi: 10.1016/j.fct.2024.115070. PMID: 39447833.