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Endoscopy vision-language foundation model pretrained on 348K gastrointestinal examinations that pair routine clinical reports with image sets.
Pathology vision foundation model adapting DINOv3 self-supervised learning to whole-slide histopathology across many magnifications and scales.
Virtual cell model using masked discrete diffusion over the whole transcriptome to simulate scRNA-seq perturbation responses across tissues.
Generalist medical multimodal LLM for image understanding, visual question answering, and report generation across twelve-plus imaging modalities.
DAMO Academy / Zhejiang University / Hupan Lab / Johns Hopkins University / Chang Gung Memorial Hospital / Fudan University Shanghai Cancer Center / Zhongshan Hospital, Fudan University / Sichuan Cancer Hospital & Institute / Shanghai Institute of Pancreatic Diseases / Xinhua Hospital, Shanghai Jiao Tong University School of Medicine / Linking Med / The University of Hong Kong / Tan Tock Seng Hospital / Nanyang Technological University / University of Wisconsin-Madison / NIH Clinical Center
Released March 16, 2025
Whole-body CT segmentation covering 235 fine-grained anatomies: 193 organs, 33 lymph node stations, and 9 lesion types from one unified network.
DAMO Academy / Hupan Lab / Westlake University / Guangzhou National Laboratory / Guangzhou Medical University / Harvard Medical School
Released December 22, 2024
Multiomic foundation model for zero-shot in silico perturbation, predicting gene regulation and cell fate transitions from DNA and ATAC signal.
Northwestern Polytechnical University / University of Adelaide / Zhejiang University / DAMO Academy
Released November 13, 2022
3D CT segmentation of abdominal organs and tumors, where a deformable-attention Transformer decodes organ embeddings into the segmentation kernels.