Multimodal survival prediction in advanced pancreatic cancer using machine learning

•We developed a machine-learning-based prediction model that outperforms the AJCC staging system and mGPS.•Applying our model to an external validation cohort demonstrates generalizability.•Explainable machine learning enables to understand the decision making of our model and identifies relevant parameters.•Combining clinical, imaging and genetic data holds potential for personalized prognostication in advanced PDAC.