Prediction of drug-induced liver injury (DILI) is challenging. Translation from animals to humans is poor and manifestation of DILI can be complex mechanistically.

In this poster, we focus on:

• transcriptomics analysis of 128 compounds form the FDA Liver Toxicity Knowledge Base (68 associated with DILI and 60 not associated with DILI)
• the use of machine learning in accurately predicting DILI and providing an insight into the mechanism of toxicity

Read our poster to learn more about our research!