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This study establishes an exploratory screening workflow for hypothesis generation and prioritization based on observational associations and introduces a Task-Adaptive Representation Approach to alleviate the over-encoding of historical prescription information within diagnostic vectors, enabling the robust prioritization of generated hypotheses.