27 Apr 2022 - 27 Apr 2022
Webinar discusses Models for Predicting Drug-induced Liver Injury
The Computational Toxicology Specialty Section of the Society of Toxicology will present a webinar on “The Predictive Toxicogenomics Space (PTGS) Modeling Tool Captures Diverse Cellular and Organ Toxicity Mechanisms and Serves for In Vitro Model-Driven Prediction of Drug-Induced Liver Injury.”
Speakers Roland Grafstrom and Pekka Kohonen of the Karolinska Institutet will describe an artificial intelligence-derived 14-gene component-based predictive toxicogenomics space tool that generates toxicity estimates based on omics data providing broad coverage of toxicity reactions and mechanisms. The tool enables application of in vitro data to assess tissue injury in multiple organs of experimental animals subjected to repeated-dose toxicity bioassays, including the accurate prediction of human drug-induced liver injury.
Organizer
Computational Toxicology Specialty Section of the Society of Toxicology
Location
Online