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The paper introduces Generalized Biomedicine Discovery (GBD), a unified benchmark for open-world medical imaging that handles long-tailed rare diseases, subtle lesions, and hierarchical taxonomies, and proposes SCAN, a cognition-inspired method using predictive suppression, surprise-evoked saliency, and complementary accommodation to improve novel concept discovery while preserving known clinical knowledge.