Selected Publications

Paris CF, Morales E, & Romano JD: Knowledge-driven artificial intelligence enables mechanistic computational toxicology. NIEHS Environmental Health Sciences Core Centers Annual Meeting October 2023.

Hao Y, Romano JD, & Moore JH: Knowledge Graph Aids Comprehensive Explanation of Drug and Chemical Toxicity. CPT: Pharmacometrics & Systems Pharmacology. Wiley, 12(8): 1072-1079, August 2023.

Romano JD, Li H, Napolitano T, Realubit R, Karan C, Holford M, & Tatonetti NP: Discovering venom-derived drug candidates using differential gene expression. Toxins. MDPI, 15(7): 451, July 2023.

Romano JD, Mei L, Senn J, Moore JH, & Mortensen HM: Exploring genetic influences on adverse outcome pathways using heuristic simulation and graph data science. Computational Toxicology. Elsevier, 25: 100261, February 2023.

Romano JD, Truong V, Kumar R, Venkatesan M, Graham BE, Hao Y, Matsumoto N, Li X, Wang Z, Ritchie M, Shen L, & Moore JH: The Alzheimer's Knowledge Base - A knowledge graph for therapeutic discovery in Alzheimer's Disease research. Journal of Medical Internet Research 2023 Notes: (Article in-press).

Romano JD: Omics Methods in Toxins Research—A Toolkit to Drive the Future of Scientific Inquiry. Toxins 14(11): 761, November 2022.

Manduchi E, Romano JD, & Moore JH: The promise of automated machine learning for the genetic analysis of complex traits. Human Genetics 141(9): 1529–1544, September 2022.

Hao Y, Romano JD, & Moore JH: Knowledge-guided deep learning models of drug toxicity improve interpretation. Patterns 3(9), August 2022.

Romano JD, Hao YH, Moore JH, & Penning T: Automating toxicological knowledge discovery using ComptoxAI. Chemical Research in Toxicology 35(8): 1370-1382, July 2022.

Romano JD: ComptoxAI - Tutorial - Neo4j Graph Database Browser. YouTube June 2022 Notes: Instructional video/tutorial available online at: https://youtu.be/WIzEGjfzGQQ. Online publication only.