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Multi-level evidence aggregation boosts top-1 retrieval accuracy for rare genetic disorders by up to 22% without retraining the underlying model.
Hierarchical modeling of 3D facial geometry reveals significant insights into phenotype classification, but struggles with rare conditions highlight critical gaps in current methodologies.
