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NPJ Genomic Medicine|June 19, 2026
GANomics: bridging legacy and modern transcriptomic platforms for clinical applicationsLeihong Wu, Hadi Salman, Weida TongJournal of Environmental Science and Health. Part C, Toxicology and Carcinogenesis|April 15, 2024
PERform: assessing model performance with predictivity and explainability readiness formulaLeihong Wu, Joshua Xu, Weida TongChemical Research in Toxicology|July 24, 2023
Classifying Free Texts Into Predefined Sections Using AI in Regulatory Documents: A Case Study with Drug Labeling DocumentsMagnus Gray, Joshua Xu, Weida Tong, et al.Drug Discovery Today|January 22, 2025
Is ChatGPT Ready for Public Use in Organ-Specific Drug Toxicity Research?Skylar Connor, Leihong Wu, Ruth A Roberts, et al.Frontiers in Artificial Intelligence|December 23, 2021
BERT-Based Natural Language Processing of Drug Labeling Documents: A Case Study for Classifying Drug-Induced Liver Injury RiskYue Wu, Zhichao Liu, Leihong Wu, et al.Drug Safety|February 20, 2025
Leveraging FDA Labeling Documents and Large Language Model to Enhance Annotation, Profiling, and Classification of Drug Adverse Events with AskFDALabelLeihong Wu, Hong Fang, Yanyan Qu, et al.Plos One|June 16, 2010
Does applicability domain exist in microarray-based genomic research?Li Shao, Leihong Wu, Hong Fang, et al.Scientific Reports|September 10, 2017
Direct comparison of performance of single nucleotide variant calling in human genome with alignment-based and assembly-based approachesLeihong Wu, Gokhan Yavas, Huixiao Hong, et al.Drug Discovery Today|November 1, 2019
Drug-induced liver injury severity and toxicity (DILIst): binary classification of 1279 drugs by human hepatotoxicityShraddha Thakkar, Ting Li, Zhichao Liu, et al.BMC Medical Informatics and Decision Making|April 16, 2020
DLI-IT: a deep learning approach to drug label identification through image and text embeddingXiangwen Liu, Joe Meehan, Weida Tong, et al.Pageof 38