AIMC Topic: Urinary Bladder Neoplasms

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Identification and validation of the nicotine metabolism-related signature of bladder cancer by bioinformatics and machine learning.

Frontiers in immunology Dec 17, 2024
BACKGROUND: Several studies indicate that smoking is one of the major risk factors for bladder cancer. Nicotine and its metabolites, the main components of tobacco, have been found to be strongly linked to the occurrence and progression of bladder ca...
Transcriptome Cell Line, Tumor Computational Biology Urinary Bladder Neoplasms Tumor Microenvironment Nicotine Humans Biomarkers, Tumor Immunotherapy Machine Learning Gene Expression Profiling Gene Expression Regulation, Neoplastic Prognosis
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Survival After Radical Cystectomy for Bladder Cancer: Development of a Fair Machine Learning Model.

JMIR medical informatics Dec 13, 2024
BACKGROUND: Prediction models based on machine learning (ML) methods are being increasingly developed and adopted in health care. However, these models may be prone to bias and considered unfair if they demonstrate variable performance in population ...
Cystectomy Male Middle Aged Urinary Bladder Neoplasms Algorithms Female Aged Humans Machine Learning
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TC-Sniffer: A Transformer-CNN Bibranch Framework Leveraging Auxiliary VOCs for Few-Shot UBC Diagnosis via Electronic Noses.

ACS sensors Nov 13, 2024
Utilizing electronic noses (e-noses) with pattern recognition algorithms offers a promising noninvasive method for the early detection of urinary bladder cancer (UBC). However, limited clinical samples often hinder existing artificial intelligence (A...
Neural Networks, Computer Algorithms Urinary Bladder Neoplasms Volatile Organic Compounds Humans Electronic Nose
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Deep Learning Predicts Lymphovascular Invasion Status in Muscle Invasive Bladder Cancer Histopathology.

Annals of surgical oncology Oct 29, 2024
BACKGROUND: Lymphovascular invasion (LVI) is linked to poor prognosis in patients with muscle-invasive bladder cancer (MIBC). Accurately identifying the LVI status in MIBC patients is crucial for effective risk stratification and precision treatment....
Follow-Up Studies Lymphatic Metastasis Urinary Bladder Neoplasms Neoplasm Invasiveness Middle Aged Deep Learning ROC Curve Lymphatic Vessels Humans Prognosis Survival Rate Male Female Aged
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Comparative Bladder Cancer Tissues Prediction Using Vision Transformer.

Journal of imaging informatics in medicine Oct 25, 2024
Bladder cancer, often asymptomatic in the early stages, is a type of cancer where early detection is crucial. Herein, endoscopic images are meticulously evaluated by experts, and sometimes even by different disciplines, to identify tissue types. It i...
Humans Neural Networks, Computer Deep Learning Urinary Bladder Neoplasms
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Artificial Intelligence-Based Assessment of Preoperative Body Composition Is Associated With Early Complications After Radical Cystectomy.

The Journal of urology Oct 11, 2024
PURPOSE: We aimed to use a validated artificial intelligence (AI) algorithm to extract muscle and adipose areas from CT images before radical cystectomy (RCx) and then correlate these measures with 90-day post-RCx complications.
Retrospective Studies Tomography, X-Ray Computed Female Aged Humans Artificial Intelligence Preoperative Period Male Urinary Bladder Neoplasms Middle Aged Body Composition Postoperative Complications Cystectomy
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Predicting Response to Intravesical Bacillus Calmette-Guérin in High-Risk Nonmuscle-Invasive Bladder Cancer Using an Artificial Intelligence-Powered Pathology Assay: Development and Validation in an International 12-Center Cohort.

The Journal of urology Oct 9, 2024
PURPOSE: There are few markers to identify those likely to recur or progress after treatment with intravesical bacillus Calmette-Guérin (BCG). We developed and validated artificial intelligence (AI)-based histologic assays that extract interpretable ...
Urinary Bladder Neoplasms Neoplasm Invasiveness Adjuvants, Immunologic Neoplasm Recurrence, Local Humans Risk Assessment Administration, Intravesical Artificial Intelligence Disease Progression Cystectomy Male Treatment Outcome Female BCG Vaccine Middle Aged Aged
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Efficient bladder cancer diagnosis using an improved RIME algorithm with Orthogonal Learning.

Computers in biology and medicine Sep 24, 2024
Bladder cancer (BC) diagnosis presents a critical challenge in biomedical research, necessitating accurate tumor classification from diverse datasets for effective treatment planning. This paper introduces a novel wrapper feature selection (FS) metho...
Machine Learning Algorithms Diagnosis, Computer-Assisted Support Vector Machine Urinary Bladder Neoplasms Humans
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A commentary on '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'.

International journal of surgery (London, England) Sep 1, 2024
Humans Urinary Bladder Neoplasms Machine Learning CD8-Positive T-Lymphocytes Prognosis Single-Cell Analysis Fibroblasts Immunotherapy
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Multiparametric MRI-Based Deep Learning Radiomics Model for Assessing 5-Year Recurrence Risk in Non-Muscle Invasive Bladder Cancer.

Journal of magnetic resonance imaging : JMRI Aug 21, 2024
BACKGROUND: Accurately assessing 5-year recurrence rates is crucial for managing non-muscle-invasive bladder carcinoma (NMIBC). However, the European Organization for Research and Treatment of Cancer (EORTC) model exhibits poor performance.
Multiparametric Magnetic Resonance Imaging Non-Muscle Invasive Bladder Neoplasms Neoplasm Invasiveness Neoplasm Recurrence, Local Reproducibility of Results Urinary Bladder Risk Factors Humans Risk Assessment Aged Retrospective Studies Radiomics Deep Learning Female Male Magnetic Resonance Imaging Middle Aged Urinary Bladder Neoplasms
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