First Affiliated Hospital Zhejiang University

Alibaba DAMO Academy's HoloCT is a 3D CT foundation model that puts scan interpretation and voxel-level segmentation inside one vision–language model, so a textual finding can come with a checkable 3D mask. Previously, segmentation networks delineated without interpreting, and CT vision–language models wrote text without voxel-level localization. On 11,455 clinical CT scans from five hospitals, HoloCT-8B raised mean Dice over VoxTell from 0.107 to 0.488 on laryngeal lesions and from 0.543 to 0.715 on lung cancer, and in retrospective reader studies of thyroid tumours and colon lesions it exceeded all four participating radiologists in sensitivity and overall accuracy.

Alibaba DAMO Academy's HoloCT is a 3D CT foundation model that puts scan interpretation and voxel-level segmentation inside one vision–language model, so a textual finding can come with a checkable 3D mask. Previously, segmentation networks delineated without interpreting, and CT vision–language models wrote text without voxel-level localization. On 11,455 clinical CT scans from five hospitals, HoloCT-8B raised mean Dice over VoxTell from 0.107 to 0.488 on laryngeal lesions and from 0.543 to 0.715 on lung cancer, and in retrospective reader studies of thyroid tumours and colon lesions it exceeded all four participating radiologists in sensitivity and overall accuracy.

Super-enhancers could previously be defined only by stitching epigenomic peaks such as H3K27ac, so unprofiled cell states were out of reach and the underlying sequence grammar stayed unread. Borzoi-SE recasts super-enhancer discovery as cell-type-resolved genomic object detection over 524-kb sequences, returning super-enhancer probabilities and boundaries across 90 human cell and tissue lineages. On held-out chromosomes it reached a region-level PR-AUC of 0.643 and F1 of 0.498, against ceilings of about 0.34 and 0.15 for four fragment-based baselines; in silico ablation of the β-globin super-enhancer ranked HS2 as the dominant hub, and CRISPRi silencing of HS2 reduced chromatin accessibility across the locus by 35% to 85%.

Super-enhancers could previously be defined only by stitching epigenomic peaks such as H3K27ac, so unprofiled cell states were out of reach and the underlying sequence grammar stayed unread. Borzoi-SE recasts super-enhancer discovery as cell-type-resolved genomic object detection over 524-kb sequences, returning super-enhancer probabilities and boundaries across 90 human cell and tissue lineages. On held-out chromosomes it reached a region-level PR-AUC of 0.643 and F1 of 0.498, against ceilings of about 0.34 and 0.15 for four fragment-based baselines; in silico ablation of the β-globin super-enhancer ranked HS2 as the dominant hub, and CRISPRi silencing of HS2 reduced chromatin accessibility across the locus by 35% to 85%.