Interpretable tissue-resolved drug toxicity prediction with pathway-level mechanism attribution
The paper introduces ToxiPred, an interpretable two-tower neural network that predicts tissue-specific drug toxicity by integrating multi-omics data through a pathway-level bottleneck, enabling both accurate liability scoring and mechanistic attribution of adverse effects.