Article-Journal

Interpretable Multimodal Fusion Model for Bridged Histology and Genomics Survival Prediction in Pan-Cancer
Understanding the prognosis of cancer patients is crucial for enabling precise diagnosis and treatment by clinical practitioners. …
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Challenges in AI-driven Biomedical Multimodal Data Fusion and Analysis
The rapid development of biological and medical examination methods has vastly expanded personal biomedical information, including …
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Liquid biopsy to identify Barrett's oesophagus, dysplasia and oesophageal adenocarcinoma: the EMERALD multicentre study

Background: There is no clinically relevant serological marker for the early detection of oesophageal adenocarcinoma (EAC) and its …

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Anatomic association between the gastrocolic trunk of Henle and right colic artery by high-quality CT venography
In hepatic flexure and transverse colon cancer surgeries, mobilizing the right mesocolon and precisely dissecting the gastrocolic trunk …
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Integrated immune-related gene signature predicts clinical outcome for patients with Luminal B breast cancer

Background: Luminal B breast cancer is routinely treated with chemotherapy and endocrine therapy. However, its sensitivity to treatment …

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Single-cell encoded gene silencing for high-throughput combinatorial siRNA screening
The use of combinatorial siRNAs shows great promise for drug discovery, but the identification of safe and effective siRNA combinations …
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Deciphering Tertiary Lymphoid Structure Heterogeneity Reveals Prognostic Signature and Therapeutic Potentials for Colorectal Cancer: A Multicenter Retrospective Cohort Study

Background: Tertiary lymphoid structures (TLSs) exert a crucial role in the tumor microenvironment (TME), impacting tumor development, …

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A new vision of diabetes classification： A shift from clinical manifestation to etiological molecular mechanism
The classification of diabetes is undergoing a significant transformation. As advancements in medical technology and a deeper …
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TMO-Net: an explainable pretrained multi-omics model for multi-task learning in oncology
Molecular subtyping of cancer is a critical step towards more individualized therapy and provides important biological insights into …
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Structure Embedded Nucleus Classification for Histopathology Images
Nuclei classification provides valuable information for histopathology image analysis. However, the large variations in the appearance …
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