P. Jurmeister

An explainable transformer model learning from entire treatment timelines for pan-cancer risk profiling across healthcare systems

Chronicle is introduced, an explainable transformer that learns from entire patient trajectories, predicts diverse clinical outcomes throughout the disease course while capturing both short- and long-term temporal dependencies, providing a scalable framework to support individualized treatment decisions.