Tag: bladder cancer recurrence prediction

Researchers in China have built an explainable deep learning model that analyzes contrast-enhanced CT scans to predict whether non-muscle-invasive bladder ...

A retrospective study of 170 patients finds that synchronous chemoradiotherapy significantly extends survival in muscle-invasive urothelial carcinoma, while methylation of ...

A Barcelona study of 87 patients shows that FGFR3 protein overexpression independently predicts recurrence in high-grade T1 bladder cancer, while ...

Researchers in China have built a predictive model combining pre-treatment immune cell densities with clinical features to forecast recurrence after ...

Recent advancements in cancer research have provided novel insights into the management and prognosis of bladder cancer, specifically for patients ...

A groundbreaking study published in BMC Cancer has unveiled a novel machine learning model leveraging multiparametric magnetic resonance imaging (mp-MRI) ...

A groundbreaking multi-institutional study has unveiled a promising approach to improving the management of bladder cancer by utilizing urine-based tumor ...

A groundbreaking study published in the latest issue of BMC Cancer unveils a novel gene expression-based risk stratification tool that ...