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A single system autonomously discovers causal biomedical mechanisms, tests them against millions of participant records, and generates interpretable predictive models that evolve with new evidence.
LAMP is proposed, the first foreground-guided framework for polyp image synthesis based on lesion-guided adaptive mucosal context propagation and substantially outperforms existing methods in overall generation quality and consistently improves five downstream segmentation models.