Publications

Wikoff D. Pragmatic solutions for better using evidence-based methods to integrate observational data in food safety assessments. Toxicology Forum 2025 Winter Meeting, Raleigh, NC, February 2025.

Suh M, Mittal L, Brorby G, Pastula S, Vincent M, Proctor D. Epidemiology is critical in advancing cumulative impact assessment (CIA) research: A pilot study in San Antonio, Texas. International Society of Exposure Science, Montreal, Canada, October 2024.

East A, Klaren W, Covington T, Rish W. Exploring biomarker-based methods to incorporate non-chemical stressor exposures into cumulative assessments for potentially vulnerable population groups. International Society of Exposure Science, Montreal, Canada, October 2024.

Cook B, Nelms MD, Harris D, Bever RJ, Lynn SC, Borghoff S, et al. Clustering chemicals for predicting behavior and hazards: Insights from the endocrine disruptor screening program (EDSP) universe of chemicals. American Society of Cellular and Computational Toxicology Annual Meeting, Research Triangle Park, NC, October 2024.

Reátegui-Zirena EG, Lange SS, Jenkins A, Heintz MM, Franke K, Perry CS, Thompson C, et al. Acute health-based screening level derivation for cyanotoxins (microcystin, cylindrospermopsin and anatoxins). Abstract 7.05P-Th-197, Society of Environmental Toxicology and Chemistry, 45^th Annual Meeting, Fort Worth, TX, October 2024.

Covington TR, Borghoff SJ, Bacigalupi L, O’Neal S, Cook B, Nelms M, et al. Prediction of chemical suitability for screening in a high-throughput assay platform using an in silico mass balance model. American Society of Cellular and Computational Toxicology Annual Meeting, Research Triangle Park, NC, October 2024.

Lea IA, Borghoff SJ, Chew R, Bell S, Edwards S, Vasko J, et al. Leveraging computational tools for enhanced human-in-the-loop systematic literature reviews. American Society of Cellular and Computational Toxicology Annual Meeting, Research Triangle Park, NC, October 2024.

Holt JR, Chew RF, Bunnage E, Lea I, Borghoff SJ, Sayer R, et al. Categorizing articles for environmental health systematic evidence mapping: A zero-shot machine learning approach using large language models. American Society of Cellular and Computational Toxicology Annual Meeting, Research Triangle Park, NC, October 2024.

Hagan B, Patlewicz G, Shah I. Metabolic similarity in read-across prediction: A case study using graph convolutional networks to predict genotoxicity outcomes from metabolic networks. Abstract 62, American Society for Cellular and Computation Toxicology 13th Annual Meeting, Research Triangle Park, NC, October 2024.

Leary AJ, Patlewicz G, Shah I. An exploration of the use of hybrid fingerprints in generalized read-across and their impact on predictive performance for selected in vivo toxicity outcomes. Abstract 42, American Society for Cellular and Computation Toxicology 13th Annual Meeting, Research Triangle Park, NC, October 2024.