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Open access Sep 2026

The dual-enhanced graph learning framework DePass allows paired data integration in single-cell and spatial multiomics

Recent sequencing advances have enabled abundant multi-omics data generation for both single-cell and spatial contexts. Integrating such multimodal data is critical for decoding cellular and tissue-level complexity. However, compared with single-modality profiling, multimodal data often exhibit higher levels of noise,...

Wei Li, Yuan-Xiang Jiang, Qing Zhao et al. · 0 citations
Sep 2026

Lingshu: Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning.

This work proposes a comprehensive data-curation procedure that efficiently acquires rich medical knowledge data not only from medical imaging but also from extensive medical texts and general domain data and develops a medical-specialized MLLM, Lingshu-Med, which consistently outperforms existing multimodal baselines...

Wei-Wen Xu, Hou-Pong Chan, Long Li et al. · 0 citations

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