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Toxics|June 26, 2024
Machine Learning to Predict Drug-Induced Liver Injury and Its Validation on Failed Drug Candidates in DevelopmentFahad Mostafa, Victoria Howle, Minjun ChenFrontiers in Toxicology|February 5, 2024
Computational models for predicting liver toxicity in the deep learning eraFahad Mostafa, Minjun ChenScientific Reports|January 10, 2026
SEIRV epidemiological model for COVID 19 with Holling type II functional responseSajal Chakroborty, Fahad MostafaDiagnostic Microbiology and Infectious Disease|March 16, 2005
Surveillance for antimicrobial resistance among clinical isolates of gram-negative bacteria from intensive care unit patients in China, 1996 to 2002Hui Wang, Minjun Chen, Hepatology (Baltimore, Md.)|June 16, 2016
A Model to predict severity of drug-induced liver injury in humansMinjun Chen, Jürgen Borlak, Weida TongScientific Reports|June 18, 2026
Surrounding rock stability and engineering practice of the 52607 working face approaching a fault-protected coal pillarZenghui Liu, Minjun Chen, Feiyue LiuJournal of Chemical Information and Computer Sciences|May 28, 2003
An approach to comparative analysis of chromatographic fingerprints for assuring the quality of botanical drugsYiyu Cheng, Minjun Chen, Weida TongHepatology (Baltimore, Md.)|December 22, 2012
High lipophilicity and high daily dose of oral medications are associated with significant risk for drug-induced liver injuryMinjun Chen, Jürgen Borlak, Weida TongJournal of Environmental Sciences (China)|April 11, 2017
Particulate matter (PM<sub>2.5</sub>) exposure season-dependently induces neuronal apoptosis and synaptic injuriesMinjun Chen, Ben Li, Nan SangExpert Review of Gastroenterology & Hepatology|May 27, 2014
Predicting idiosyncratic drug-induced liver injury: some recent advancesMinjun Chen, Jürgen Borlak, Weida TongPageof 14