Showing results (1-10 of 18,241) with videos related to
Sort By:
Pageof 1,825
Toxicological Sciences : an Official Journal of the Society of Toxicology|August 6, 2026
GanCtrl: A Generative AI Approach to Derive Study-Aligned Synthetic Controls for Reducing Concurrent Control Animal UseMansi Chandra, Xi Chen, Ting Li, et al.Toxicological Sciences : an Official Journal of the Society of Toxicology|July 22, 2025
AIVIVE: A Novel AI Framework for Enhanced In Vitro to In Vivo Extrapolation (IVIVE) of Toxicogenomics DataMansi Chandra, Ting Li, Weida TongNPJ Digital Medicine|November 5, 2024
Bridging organ transcriptomics for advancing multiple organ toxicity assessment with a generative AI approachTing Li, Xi Chen, Weida TongToxicological Sciences : an Official Journal of the Society of Toxicology|December 31, 2021
Tox-GAN: An Artificial Intelligence Approach Alternative to Animal Studies-A Case Study With ToxicogenomicsXi Chen, Ruth Roberts, Weida Tong, et al.Nature Communications|November 6, 2023
A generative adversarial network model alternative to animal studies for clinical pathology assessmentXi Chen, Ruth Roberts, Zhichao Liu, et al.Drug Discovery Today|April 26, 2026
Integrating in vitro and in silico NAMs for enhanced prediction of drug-induced liver injuryTing Li, Shivangi Shrimali, Yanyan Qu, et al.Chemical Research in Toxicology|May 18, 2023
TransOrGAN: An Artificial Intelligence Mapping of Rat Transcriptomic Profiles between Organs, Ages, and SexesTing Li, Ruth Roberts, Zhichao Liu, et al.Frontiers in Artificial Intelligence|August 19, 2021
DICE: A Drug Indication Classification and Encyclopedia for AI-Based Indication ExtractionArjun Bhatt, Ruth Roberts, Xi Chen, et al.Chemical Research in Toxicology|March 27, 2025
DICTrank Is a Reliable Dataset for Cardiotoxicity Prediction Using Machine Learning MethodsYanyan Qu, Ting Li, Zhichao Liu, et al.Frontiers in Artificial Intelligence|December 15, 2022
Corrigendum: DeepCarc: Deep learning-powered carcinogenicity prediction using model-level representationTing Li, Weida Tong, Ruth Roberts, et al.Pageof 1,825