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Chemical modifications to proteins, often missed by standard protein language models, can now be accurately captured and leveraged for improved biomolecule design, thanks to a new framework that fuses atomic-level details with broader sequence context.
By explicitly modeling vascular topology, VasGuideNet achieves anatomically consistent Couinaud liver segmentation, surpassing state-of-the-art methods in Dice score and RVD.
By explicitly enforcing forward disease progression, D-ODR ensures that DR grading models learn biologically consistent feature representations, leading to more reliable clinical assessments.
Stop naively aggregating knowledge for KB-VQA: MaS-VQA's Mask-and-Select mechanism shows how to prune irrelevant image regions and knowledge fragments for better reasoning.
