Leihong Wu (Weida Tong)

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Venues

Chemical research in toxicology

Experimental biology and medicine (Maywood, N.J.)

Journal of chemical information and modeling

BMC genomics

National Center for Toxicological Research

Zhejiang University (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

National Center for Toxicological Research Jan 07 2017

United States

Staff Fellow :: Division of Bioinformatics and Biostatistics

National Center for Toxicological Research Feb 19 2014 - Jan 06 2017

United States

Post Doc :: Division of bioinformatics and biostatistics

Education History

Zhejiang University Sep 01 2008 - Dec 30 2013

China

PHD :: Pharminformatics institute

Publications

Leihong Wu, Magnus Gray, Oanh Dang, Joshua Xu, Hong Fang, Weida Tong
RxBERT: Enhancing drug labeling text mining and analysis with AI language modeling. Experimental biology and medicine (Maywood, N.J.) 248 (21) (2024)
Leihong Wu, Magnus Gray, Oanh Dang, Joshua Xu, Hong Fang, Weida Tong
RxBERT: Enhancing drug labeling text mining and analysis with AI language modeling. Experimental biology and medicine (Maywood, N.J.) 248 (21) (2024)
Leihong Wu, Magnus Gray, Oanh Dang, Joshua Xu, Hong Fang, Weida Tong
RxBERT: Enhancing drug labeling text mining and analysis with AI language modeling. Experimental biology and medicine (Maywood, N.J.) 248 (21) (2024)
Leihong Wu, Magnus Gray, Oanh Dang, Joshua Xu, Hong Fang, Weida Tong
RxBERT: Enhancing drug labeling text mining and analysis with AI language modeling. Experimental biology and medicine (Maywood, N.J.) 248 (21) (2024)
Leihong Wu, Magnus Gray, Oanh Dang, Joshua Xu, Hong Fang, Weida Tong
RxBERT: Enhancing drug labeling text mining and analysis with AI language modeling. Experimental biology and medicine (Maywood, N.J.) (2024)
Leihong Wu, Magnus Gray, Oanh Dang, Joshua Xu, Hong Fang, Weida Tong
RxBERT: Enhancing drug labeling text mining and analysis with AI language modeling. Experimental biology and medicine (Maywood, N.J.) 248 (21) (2024)
Leihong Wu, Joshua Xu, Weida Tong
PERform: assessing model performance with predictivity and explainability readiness formula. Journal of environmental science and health. Part C, Toxicology and carcinogenesis (2024)
Nicole Bussola, Joshua Xu, Leihong Wu, Lorenzo Gorini, Yifan Zhang, Cesare Furlanello, Weida Tong
A Weakly Supervised Deep Learning Framework for Whole Slide Classification to Facilitate Digital Pathology in Animal Study. Chemical research in toxicology (2023)
Ting Li, Ruth A Roberts, Zhichao Liu, Leihong Wu
TransOrGAN: An Artificial Intelligence Mapping of Rat Transcriptomic Profiles between Organs, Ages, and Sexes. Chemical research in toxicology (2023)
Magnus Gray, Joshua Xu, Weida Tong, Leihong Wu
Classifying Free Texts Into Predefined Sections Using AI in Regulatory Documents: A Case Study with Drug Labeling Documents. Chemical research in toxicology (2023)
Nicole C Kleinstreuer, Igor V Tetko, Leihong Wu
Introduction to Special Issue: Computational Toxicology. Chemical research in toxicology 34 (2) (2021)
Nicole C Kleinstreuer, Leihong Wu, Igor V Tetko
Computational Toxicology. Chemical research in toxicology 33 (3) (2021)
Leihong Wu, Ruili Huang, Igor V Tetko, Zhonghua Xia, Joshua Xu, Leihong Wu
Trade-off Predictivity and Explainability for Machine-Learning Powered Predictive Toxicology: An in-Depth Investigation with Tox21 Data Sets. Chemical research in toxicology 34 (2) (2021)
Ting Li, Leihong Wu, Ruth Roberts, Zhichao Liu, Shraddha Thakkar
DeepDILI: Deep Learning-Powered Drug-Induced Liver Injury Prediction Using Model-Level Representation. Chemical research in toxicology 34 (2) (2020)
Dongying Li, Binsheng Gong, Joshua Xu, Baitang Ning, Leihong Wu
Impact of Sequencing Depth and Library Preparation on Toxicological Interpretation of RNA-Seq Data in a "Three-Sample" Scenario. Chemical research in toxicology 34 (2) (2020)
Xiangwen Liu, Joe Meehan, Weida Tong, Leihong Wu, Xiaowei Xu, Joshua Xu
DLI-IT: a deep learning approach to drug label identification through image and text embedding. BMC medical informatics and decision making 20 (1) (2020)
James Rathman, Chihae Yang, J Vinicius Ribeiro, Aleksandra Mostrag, Shraddha Thakkar, Leihong Wu, Bryan Hobocienski, Oliver Sacher, Tomasz Magdziarz, Bruno Bienfait
Development of a Battery of In Silico Prediction Tools for Drug-Induced Liver Injury from the Vantage Point of Translational Safety Assessment. Chemical research in toxicology 34 (2) (2020)
Binsheng Gong, Joshua Xu, Leihong Wu
Landscape of circRNAs Across 11 Organs and 4 Ages in Fischer 344 Rats. Chemical research in toxicology 34 (2) (2020)
Zhichao Liu, Liyuan Zhu, Shraddha Thakkar, Ruth Roberts, Leihong Wu
Can Transcriptomic Profiles from Cancer Cell Lines Be Used for Toxicity Assessment? Chemical research in toxicology 33 (1) (2019)
Leihong Wu, Xiangwen Liu, Joshua Xu
HetEnc: a deep learning predictive model for multi-type biological dataset. BMC genomics 20 (1) (2019)
Leihong Wu, Zhichao Liu, Scott Auerbach, Ruili Huang, Minjun Chen, Kristin McEuen, Joshua Xu, Hong Fang, Leihong Wu
Integrating Drug's Mode of Action into Quantitative Structure-Activity Relationships for Improved Prediction of Drug-Induced Liver Injury. Journal of chemical information and modeling 57 (4) (2017)

Leihong Wu.css-eqlu8i{font-size:small;padding-left:4px;} (Weida Tong)

Publication Activity (10 Years)

Top Topics

Top Venues

Leihong Wu (Weida Tong)