Hassan Harb

Hierarchical temporal transformer for cancer grade prediction and cross-cancer transfer learning from pathology reports

Language models for cancer clinical reports carry two blind spots. They read each report in isolation, ignoring how a patient’s disease changes across visits, and they are evaluated only on cancer types present in their training data. We present the Hierarchical Temporal Transformer (HTT), a two-level architecture that...