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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.

Multimodal Large Language Models (MLLMs) excel at understanding generic visual content, such as landscapes, objects, and events, thanks to extensive datasets and advanced training regimes. However, their effectiveness in medical applications remains limited due to the inherent discrepancies between data and tasks in me...

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

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