AIMC Topic: Urinary Bladder Neoplasms

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is a novel marker for bladder cancer prognosis: evidence based on experimental studies, machine learning and single-cell sequencing.

Frontiers in immunology Aug 21, 2024
BACKGROUND: Bladder cancer, a highly fatal disease, poses a significant threat to patients. Positioned at 19q13.2-13.3, LIG1, one of the four DNA ligases in mammalian cells, is frequently deleted in tumour cells of diverse origins. Despite this, the ...
Male Female Middle Aged Aged Gene Expression Profiling Biomarkers, Tumor Protein Interaction Maps Humans Gene Regulatory Networks Machine Learning Cell Line, Tumor Prognosis Single-Cell Analysis DNA Ligase ATP Computational Biology Gene Expression Regulation, Neoplastic Urinary Bladder Neoplasms
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Single-cell and bulk RNA-sequence identified fibroblasts signature and CD8 + T-cell - fibroblast subtype predicting prognosis and immune therapeutic response of bladder cancer, based on machine learning: bioinformatics multi-omics study.

International journal of surgery (London, England) Aug 1, 2024
BACKGROUND: Cancer-associated fibroblasts (CAFs) are found in primary and advanced tumours. They are primarily involved in tumour progression through complex mechanisms with other types of cells in the tumour microenvironment. However, essential fibr...
Sequence Analysis, RNA Urinary Bladder Neoplasms Machine Learning Cancer-Associated Fibroblasts Prognosis CD8-Positive T-Lymphocytes Humans Female Computational Biology Transcriptome Immunotherapy Tumor Microenvironment Single-Cell Analysis Multiomics Male
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A commentary on 'A CT-based deep learning model predicts overall survival in patients with muscle invasive bladder cancer after radical cystectomy: a multicenter retrospective cohort study'.

International journal of surgery (London, England) Aug 1, 2024
Deep Learning Urinary Bladder Neoplasms Neoplasm Invasiveness Cystectomy Humans Retrospective Studies Tomography, X-Ray Computed
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Deep learning identifies histopathologic changes in bladder cancers associated with smoke exposure status.

PloS one Jul 31, 2024
Smoke exposure is associated with bladder cancer (BC). However, little is known about whether the histologic changes of BC can predict the status of smoke exposure. Given this knowledge gap, the current study investigated the potential association be...
Humans Female Middle Aged Deep Learning Urinary Bladder Neoplasms Aged Smoking Aged, 80 and over Male
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Evaluating artificial intelligence-enhanced digital urine cytology for bladder cancer diagnosis.

Cancer cytopathology Jul 14, 2024
BACKGROUND: This study evaluated the diagnostic effectiveness of the AIxURO platform, an artificial intelligence-based tool, to support urine cytology for bladder cancer management, which typically requires experienced cytopathologists and substantia...
Humans Artificial Intelligence Carcinoma, Transitional Cell Male Urine Urinary Bladder Neoplasms Female Aged Cytodiagnosis Sensitivity and Specificity Microscopy
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Machine learning-based autophagy-related prognostic signature for personalized risk stratification and therapeutic approaches in bladder cancer.

International immunopharmacology Jul 10, 2024
OBJECTIVE: Bladder cancer (BCa) is a highly lethal urological malignancy characterized by its notable histological heterogeneity. Autophagy has swiftly emerged as a diagnostic and prognostic biomarker in diverse cancer types. Nonetheless, the current...
Urinary Bladder Neoplasms Autophagy Humans Prognosis Mice Biomarkers, Tumor Immunotherapy Machine Learning Gene Expression Regulation, Neoplastic Precision Medicine Animals Risk Assessment Cell Line, Tumor
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Optimizing cystoscopy and TURBT: enhanced imaging and artificial intelligence.

Nature reviews. Urology Jul 9, 2024
Diagnostic cystoscopy in combination with transurethral resection of the bladder tumour are the standard for the diagnosis, surgical treatment and surveillance of bladder cancer. The ability to inspect the bladder in its current form stems from a lon...
Humans Cystoscopy Artificial Intelligence Urinary Bladder Neoplasms
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Machine learning-based CT radiomics enhances bladder cancer staging predictions: A comparative study of clinical, radiomics, and combined models.

Medical physics Jul 8, 2024
BACKGROUND: Predicting the accurate preoperative staging of bladder cancer (BLCA), which markedly affects treatment decisions and patient outcomes, using traditional clinical parameters is challenging. Nevertheless, emerging studies in radiomics, esp...
Female Aged Radiomics Male Machine Learning Retrospective Studies Tomography, X-Ray Computed Humans Neoplasm Staging Middle Aged Image Processing, Computer-Assisted Urinary Bladder Neoplasms
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Selection of Convolutional Neural Network Model for Bladder Tumor Classification of Cystoscopy Images and Comparison with Humans.

Journal of endourology Jul 1, 2024
An investigation of various convolutional neural network (CNN)-based deep learning algorithms was conducted to select the appropriate artificial intelligence (AI) model for calculating the diagnostic performance of bladder tumor classification on cy...
Humans Neural Networks, Computer Sensitivity and Specificity Urinary Bladder Neoplasms Cystoscopy Deep Learning ROC Curve Image Processing, Computer-Assisted
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Non-invasive screening of bladder cancer using digital microfluidics and FLIM technology combined with deep learning.

Journal of biophotonics Jun 28, 2024
Non-invasive screening for bladder cancer is crucial for treatment and postoperative follow-up. This study combines digital microfluidics (DMF) technology with fluorescence lifetime imaging microscopy (FLIM) for urine analysis and introduces a novel ...
Image Processing, Computer-Assisted Urinary Bladder Neoplasms Early Detection of Cancer Microscopy, Fluorescence Microfluidics Male Middle Aged Deep Learning Humans Female Aged
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