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Weiqing Chen

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Open access Aug 2026

Genome-scale molecular profiling from routine histopathology with a multimodal pathology foundation model

Pathology foundation models trained from whole-slide images alone treat tissue morphology as an autonomous visual phenotype, leaving learned representations only weakly anchored to the molecular processes that generate tissue architecture. Here we present Fuji, a multimodal pathology foundation model that grounds morph...

Q. Li, J. Sang, Yiwei Xiao et al. · 0 citations
Open access Aug 2026

Deep-learning-enabled multi-omics analyses for prediction of future metastasis in cancer

Metastasis remains the leading cause of cancer-related mortality, yet predicting future metastasis is a major clinical challenge due to the lack of validated biomarkers and effective assessment methods. Here, we present EmitGCL, a deep-learning framework that accurately predicts future metastasis and its corresponding...

Xiaoying Wang, Maoteng Duan, Anthony J. Snyder et al. · 0 citations

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