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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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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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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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Senescence-based colorectal cancer subtyping reveals distinct molecular characteristics and therapeutic strategies
Cellular senescence has been listed as a hallmark of cancer, but its role in colorectal cancer (CRC) remains unclear. We …
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Segmentation only uses sparse annotations: Unified weakly and semi-supervised learning in medical images
Since segmentation labeling is usually time-consuming and annotating medical images requires professional expertise, it is laborious to …
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Predicting treatment response from longitudinal images using multi-task deep learning
Radiographic imaging is routinely used to evaluate treatment response in solid tumors. Current imaging response metrics do not reliably …
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DeepCC: a novel deep learning-based framework for cancer molecular subtype classification
Molecular subtyping of cancer is a critical step towards more individualized therapy and provides important biological insights into …
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Gene expression signature in surgical tissues and endoscopic biopsies identifies high-risk T1 colorectal cancers
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Genome-wide discovery of a novel gene-expression signature for the identification of lymph node metastasis in esophageal squamous cell carcinoma

Objective: This study aimed to develop a gene-expression signature for identification of lymph node (LN) metastasis in esophageal …

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