Hassan Harb

This paper introduces a hierarchical temporal transformer for cancer grade prediction from pathology reports, showing improved performance across cancer types and using visit timing when identifiable.

The paper introduces HTT, a model that improves cancer grade prediction from pathology reports by incorporating temporal information and cross-cancer transfer learning, achieving high AUROC scores on unseen cancer types.