Urology

Disulfide bond-related gene signature development for bladder cancer prognosis prediction and immune microenvironment characterization.

Bladder cancer is the fourth most common malignant tumor in men, with limited therapeutic biomarkers...

Integrating multimodal data to predict the progression of hormone-sensitive prostate cancer.

Identifying the population at risk of rapid progression from hormone-sensitive prostate cancer (HSPC...

Applying exposure-response analysis to enhance Mycophenolate Mofetil dosing precision in pediatric patients with immune-mediated renal diseases by machine learning models.

BACKGROUND: Mycophenolate mofetil (MMF), a cornerstone immunosuppressant for lupus nephritis, is inc...

Hydronephrosis-Associated Renal Fibrosis: Clinical Validation of Spp1 as a Biomarker and Therapeutic Target.

BACKGROUND: Renal fibrosis is a key driver of chronic kidney disease (CKD), often leading to end-sta...

ASO Author Reflections: Artificial Intelligence in Bladder Cancer-Transforming Diagnosis and Treatment Paradigms.

Incorporating organ deformation in biological modeling and patient outcome study for permanent prostate brachytherapy.

Permanent prostate brachytherapy has inherent intraoperative organ deformation due to the inflatable...

Creatine kinase in prostate cancer: A biosensor-driven diagnostic paradigm.

BACKGROUND: Prostate cancer (PC) remains a leading cause of cancer-related morbidity in men worldwid...

Letter to the Editor on "Deep Learning Algorithms to Predict Differential Renal Function <40% in Unilateral Hydronephrosis Based on Key Parameters of Urinary Tract Ultrasound".

Predicting Early Outcomes of Prostatic Artery Embolization Using -Butyl Cyanoacrylate Liquid Embolic Agent: A Machine Learning Study.

: Prostatic artery embolization (PAE) has been increasingly recognized, especially with recent progr...

Computed Tomography-Based Radiomics Diagnostic Model for Fat-Poor Small Renal Tumor Subtypes.

Differentiating histologic subtypes of fat-poor small renal masses using conventional imaging remai...

Estimation of postmortem interval under different ambient temperatures based on multi-organ metabolomics and machine learning algorithm.

In forensic practice, the estimation of postmortem interval has been a persistent challenge. Recentl...

Advancing breast, lung and prostate cancer research with federated learning. A systematic review.

Federated learning (FL) is advancing cancer research by enabling privacy-preserving collaborative tr...

Comprehensive analysis of the association between volatile organic compound pollutants and chronic kidney disease in hypertensive populations: insights from multi-omics approaches and identification of potential therapeutic targets.

Environmental pollutants, including volatile organic compounds (VOCs), are increasingly linked to ch...

Subregion-based radiomics analysis for predicting the histological grade of clear cell renal cell carcinoma.

PURPOSE: We explored the feasibility of constructing machine learning (ML) models based on subregion...

Development of AI-integrated smartphone sponge-based sensors utilizing His@Co-NC nanozymes for highly sensitive sarcosine detection.

The increasing demand for point-of-care detection of low-concentration cancer biomarkers has necessi...

Multiomics in Renal Cell Carcinoma: Current Landscape and Future Directions for Precision Medicine.

PURPOSE OF REVIEW: Renal cell carcinoma (RCC) is a prevalent and increasingly diagnosed malignancy a...

Research-based clinical deployment of artificial intelligence algorithm for prostate MRI.

PURPOSE: A critical limitation to deployment and utilization of Artificial Intelligence (AI) algorit...

Applications of artificial intelligence in abdominal imaging.

The rapid advancements in artificial intelligence (AI) carry the promise to reshape abdominal imagin...

Does Machine Learning Prediction of Magnetic Resonance Imaging PI-RADS Correlate with Target Prostate Biopsy Results?

OBJECTIVES: This study aimed to predict and classify MRI PI-RADs scores using different machine lear...

Two birds with one stone: pre-TAVI coronary CT angiography combined with FFR helps screen for coronary stenosis.

OBJECTIVES: Since coronary artery disease (CAD) is a common comorbidity in patients with aortic valv...

Biparametric Prostate MRI: A Practical Approach to Implementation and Comparative Analysis.

Prostate cancer (PCa) remains a leading cause of cancer-related morbidity and mortality among men wo...