Structuring pathology foundation models with domain knowledge.

Abstract

In this issue of Cancer Cell, Zhou et al. present KEEP, a vision-language foundation model that incorporates hierarchical disease knowledge into pre-training via a structured disease graph. The knowledge-guided learning shapes semantic representations and enables improved zero-shot and few-shot performance across multiple pathology benchmarks, with notable effects in rare cancer classification.