Predicting distant metastasis of bladder cancer using multiple machine learning models: a study based on the SEER database with external validation.

Background And Purpose: Distant metastasis in bladder cancer is linked to poor prognosis and significant mortality. Machine learning (ML), a key area of artificial intelligence, has shown promise in the diagnosis, staging, and treatment of bladder cancer. This study aimed to employ various ML techniques to predict distant metastasis in patients with bladder cancer.

Develop a radiomics-based machine learning model to predict the stone-free rate post-percutaneous nephrolithotomy.

Radiomics and machine learning have been extensively utilized in the realm of urinary stones, particularly in forecasting stone treatment outcomes. The objective of this study was to integrate clinical variables and radiomic features to develop a machine learning model for predicting the stone-free rate (SFR) following percutaneous nephrolithotomy (PCNL). A total of 212 eligible patients who underwent PCNL surgery at the Second Affiliated Hospital of Nanchang University were included in a retrospective analysis.

Efficacy and Side Effects of Drugs Commonly Used for the Treatment of Lower Urinary Tract Symptoms Associated With Benign Prostatic Hyperplasia.

Benign prostatic hyperplasia (BPH) is the most common benign disease of the prostate gland and is caused by benign hyperplasia of the smooth muscle cells and stromal cells in this important gland. BPH is also the most common disease underlying lower urinary tract symptoms (LUTS). The incidence of BPH increases with age and affects more than half of all men 50 years or older.

[Expression and Clinical Significance of Late Endosomal/Lysosomal Adaptor,Mitogen-activated Protein Kinase and Mammalian Target of Rapamycin Activator 3 in Bladder Carcinoma].

Objective To investigate the expression and clinical significance of late endosomal/lysosomal adaptor,mitogen-activated protein kinase and mammalian target of rapamycin activator 3(LAMTOR3)in bladder carcinoma.Methods Oncomine and Expression Atlas were used to extract the useful mining gene chip database for analyzing the expression of LAMTOR3 in bladder carcinoma tissues and cell lines,and the correlation of LAMTOR3 with the clinicopathological features were analyzed.RT-PCR,Western blot,and immunohistochemistry were performed to detect the expression of LAMTOR3 in bladder carcinoma cell lines,specimens,and adjacent normal tissues for verifying the results exploited from the above databases.

[Exosomes in the Pathogenesis of Rheumatoid Arthritis].

Exosomes are 30-100 nm vesicles secreted from almost all types of cells.They contain various molecular constituents,including proteins,lipids,and RNA.As important mediators of cell-to-cell communication,exosomes are involved in a variety of physiological and pathological processes such as inflammatory reaction,cell proliferation and differentiation,tissue repair,immune signal transduction,and stress response.