CT image-derived radiomics predicts molecular subtypes in bladder urothelial carcinoma: validation of a non-invasive classification strategy. [PDF]
Zhang Q +5 more
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Radiomics and deep learning fusion model based on multiphasic CT for predicting HER2 expression status in bladder urothelial carcinoma: a multicenter study. [PDF]
Pan W +6 more
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Review of recent molecular pathology of bladder urothelial carcinoma. [PDF]
Su P, Yang Y, Zheng H.
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An interpretable machine learning model based on CT imaging for predicting lymphovascular invasion and survival in bladder urothelial carcinoma: a multicenter study. [PDF]
Xiao B +10 more
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Exploration of neutrophil-associated genes in the prognosis of bladder urothelial carcinoma based on a machine learning and multi-omics data integration framework. [PDF]
Ran M +7 more
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Analysis of the correlation between COL11A1 gene expression and clinical features in bladder urothelial carcinoma. [PDF]
Li J +5 more
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Multimodal prognostic models for bladder urothelial carcinoma: uroplakin III combined with serum and demographic data. [PDF]
Feng R +6 more
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PAQR4: A Critical Senescence-Related Gene Influencing Immune Evasion and Metastasis in Bladder Urothelial Carcinoma. [PDF]
Sun Y, Yi X, Zhou C, Huang Y.
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A Clinically Practical Nomogram for Predicting Survival in Elderly Patients (≥ 65 Years) With Bladder Urothelial Carcinoma: A Study Based on SEER Database and External Validation. [PDF]
Wei J, Wei C, Chen J, Zhang X, Zhao W.
europepmc +1 more source

