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Chemical 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.
Experimental Biology and Medicine (Maywood, N.J.)|January 3, 2024
RxBERT: Enhancing drug labeling text mining and analysis with AI language modelingLeihong Wu, Magnus Gray, Oanh Dang, et al.
Journal 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 Tong
Regulatory Toxicology and Pharmacology : RTP|April 3, 2024
A framework enabling LLMs into regulatory environment for transparency and trustworthiness and its application to drug labeling documentLeihong Wu, Joshua Xu, Shraddha Thakkar, et al.
Clinical Pharmacology and Therapeutics|November 29, 2023
Measurement and Mitigation of Bias in Artificial Intelligence: A Narrative Literature Review for Regulatory ScienceMagnus Gray, Ravi Samala, Qi 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.
International Journal of Environmental Research and Public Health|August 26, 2022
NeuroCORD: A Language Model to Facilitate COVID-19-Associated Neurological Disorder StudiesLeihong Wu, Syed Ali, Heather Ali, et al.
Pharmaceutics|March 22, 2016
Comprehensive Assessments of RNA-seq by the SEQC Consortium: FDA-Led Efforts Advance Precision MedicineJoshua Xu, Binsheng Gong, Leihong Wu, et al.
Chemical Research in Toxicology|November 14, 2025
Comparative Study of Molecular Descriptors and AI-Based Embeddings for Toxicity PredictionMagnus Gray, Leihong Wu
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