Deep learning model to predict adverse drug-drug interactions

The intake of multiple drugs can result in adverse health effects due to unexpected drug-drug interactions (DDIs). Now, researchers have developed a deep learning model that predicts DDIs based on their effects on gene expression. Their new model is accurate and outperforms conventional prediction models. It can also predict DDIs between developmental drugs and may be useful for detecting DDIs early in the drug-discovery process.