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Weida Tong

Showing results (121-130 of 353) with videos related to

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International Journal of Environmental Research and Public Health|October 1, 2016
Consensus Modeling for Prediction of Estrogenic Activity of Ingredients Commonly Used in Sunscreen ProductsHuixiao Hong, Diego Rua, Sugunadevi Sakkiah, et al.
Chemical Research in Toxicology|January 16, 2014
Drug-induced rhabdomyolysis: from systems pharmacology analysis to biochemical fluxJunguk Hur, Zhichao Liu, 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.
Frontiers in Artificial Intelligence|November 25, 2022
Adaptability of AI for safety evaluation in regulatory science: A case study of drug-induced liver injurySkylar Connor, Ting Li, Ruth Roberts, et al.
Expert Review of Gastroenterology & Hepatology|September 22, 2017
The Liver Toxicity Knowledge Base (LKTB) and drug-induced liver injury (DILI) classification for assessment of human liver injuryShraddha Thakkar, Minjun Chen, Hong Fang, et al.
Drug Discovery Today|October 22, 2017
Computational drug repositioning for rare diseases in the era of precision medicineBrian Delavan, Ruth Roberts, Ruili Huang, et al.
Computational Biology and Chemistry|February 17, 2007
Consensus analysis of multiple classifiers using non-repetitive variables: diagnostic application to microarray gene expression dataZhenqiang Su, Huixiao Hong, Roger Perkins, et al.
Analytical Biochemistry|December 9, 2008
Correlation analysis of external RNA controls reveals its utility for assessment of microarray assayXiaohui Fan, Hong Fang, Huixiao Hong, et al.
Drug Discovery Today|June 1, 2011
FDA-approved drug labeling for the study of drug-induced liver injuryMinjun Chen, Vikrant Vijay, Qiang Shi, et al.
International Journal of Environmental Research and Public Health|July 20, 2021
Machine Learning for Predicting Risk of Drug-Induced Autoimmune Diseases by Structural Alerts and Daily DoseYue Wu, Jieqiang Zhu, Peter Fu, et al.
Pageof 36

Showing results (121-130 of 353) with videos related to

Sort By:
Pageof 36
International Journal of Environmental Research and Public Health|October 1, 2016
Consensus Modeling for Prediction of Estrogenic Activity of Ingredients Commonly Used in Sunscreen ProductsHuixiao Hong, Diego Rua, Sugunadevi Sakkiah, et al.
Chemical Research in Toxicology|January 16, 2014
Drug-induced rhabdomyolysis: from systems pharmacology analysis to biochemical fluxJunguk Hur, Zhichao Liu, 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.
Frontiers in Artificial Intelligence|November 25, 2022
Adaptability of AI for safety evaluation in regulatory science: A case study of drug-induced liver injurySkylar Connor, Ting Li, Ruth Roberts, et al.
Expert Review of Gastroenterology & Hepatology|September 22, 2017
The Liver Toxicity Knowledge Base (LKTB) and drug-induced liver injury (DILI) classification for assessment of human liver injuryShraddha Thakkar, Minjun Chen, Hong Fang, et al.
Drug Discovery Today|October 22, 2017
Computational drug repositioning for rare diseases in the era of precision medicineBrian Delavan, Ruth Roberts, Ruili Huang, et al.
Computational Biology and Chemistry|February 17, 2007
Consensus analysis of multiple classifiers using non-repetitive variables: diagnostic application to microarray gene expression dataZhenqiang Su, Huixiao Hong, Roger Perkins, et al.
Analytical Biochemistry|December 9, 2008
Correlation analysis of external RNA controls reveals its utility for assessment of microarray assayXiaohui Fan, Hong Fang, Huixiao Hong, et al.
Drug Discovery Today|June 1, 2011
FDA-approved drug labeling for the study of drug-induced liver injuryMinjun Chen, Vikrant Vijay, Qiang Shi, et al.
International Journal of Environmental Research and Public Health|July 20, 2021
Machine Learning for Predicting Risk of Drug-Induced Autoimmune Diseases by Structural Alerts and Daily DoseYue Wu, Jieqiang Zhu, Peter Fu, et al.
Pageof 36