Urology

Stereotactic Body Radiation Therapy for Primary Renal Cancer and Genetic Markers of Response: A Phase 2 Trial.

Controlled outcome assessment of radiotherapy for primary renal cell carcinoma (RCC) remains limited...

Thermodynamics Analysis of a Reaction-Diffusion Matrix Multiplication Computing Unit under the Linear Non-Equilibrium Regime.

Implementations of matrix multiplication via diffusion and reactions, thus eliminating the need for ...

Annotated dataset of simulated voiding sound for urine flow estimation.

Sound-based uroflowmetry is a non-invasive test emerging as an alternative to standard uroflowmetry,...

Radiogenomic correlation of hypoxia-related biomarkers in clear cell renal cell carcinoma.

PURPOSE: This study aimed to evaluate radiomic models' ability to predict hypoxia-related biomarker ...

Exploring the molecular mechanisms of lactylation-related biological functions and immune regulation in sepsis-associated acute kidney injury.

Lactylation, a novel post-translational modification, has been implicated in various pathophysiologi...

Sepsis criteria and kidney function: eliminating sex, age and economic status biases.

The kidney is a target organ for the dysregulated host response to infection that defines sepsis, an...

Computational Histology Artificial Intelligence (CHAI) Enhances Risk Stratification of High-grade Ta Non-muscle-invasive Bladder Cancer in a Multicenter Cohort: Comparison to Current European Association of Urology and American Urological Association Stratification Schemes.

Analysis and characterization of extrachromosomal circular DNA in prostate cancer: Potential biomarker discovery from urine, plasma, and tumor samples.

Extrachromosomal circular DNA (eccDNA) may contribute to genomic rearrangements and tumor heterogene...

Development and validation of a cardiac surgery-associated acute kidney injury prediction model using the MIMIC-IV database.

OBJECTIVE: This study aimed to develop an innovative early prediction model for acute kidney injury ...

Integrated machine learning based on cuproptosis and RNA methylation regulators to explore the molecular model of prostate cancer and provide novel insights to immunotherapy.

As a highly prevalent tumor in males, prostate cancer (PCa) needs newly developed biomarkers to gui...

A lipid atlas of the human kidney.

Tissue atlases provide foundational knowledge on the cellular organization and molecular distributio...

Intraoperative hypotension during robotic-assisted radical prostatectomy: A randomised controlled trial comparing standard goal-directed fluid therapy with hypotension prediction index-guided goal-directed fluid therapy.

BACKGROUND: Robot-assisted radical prostatectomy (RARP) represents the leading application of roboti...

Identification of lipid metabolism-associated biomarkers in lupus nephritis by SVM model and therapeutic potential of Alisol B 23-acetate.

Systemic lupus erythematosus (SLE), a multifaceted autoimmune disorder, has lupus nephritis (LN) as ...

DWI-based Biologically Interpretable Radiomic Nomogram for Predicting 1- year Biochemical Recurrence after Radical Prostatectomy: A Deep Learning, Multicenter Study.

INTRODUCTION: It is not rare to experience a biochemical recurrence (BCR) following radical prostate...

Building Trust in Clinical AI: A Web-Based Explainable Decision Support System for Chronic Kidney Disease.

Chronic Kidney Disease (CKD) is a significant global public health issue, affecting over 10% of the ...

Predicting rapid kidney function decline in middle-aged and elderly Chinese adults using machine learning techniques.

The rapid decline of kidney function in middle-aged and elderly people has become an increasingly se...

Long-term exposure to PM and liver cancer mortality: Insights into the role of smaller particulate fractions.

Particulate matter (PM) is a recognized carcinogen, but the effects of PM on liver cancer remain und...

Case-control study combined with machine learning techniques to identify key genetic variations in GSK3B that affect susceptibility to diabetic kidney diseases.

The role of genetic susceptibility in early warning and precise treatment of diabetic kidney disease...

Machine learning-based prediction model for cognitive impairment risk in patients with chronic kidney disease.

BACKGROUND: The high prevalence of cognitive impairment (CI) in Chronic kidney disease (CKD) patient...

Development of a machine learning-based model to predict urethral recurrence following radical cystectomy: a multicentre retrospective study and updated meta-analysis.

Urethral recurrence (UR) following radical cystectomy for bladder cancer represents an aggressive di...

Machine learning models for predicting severe acute kidney injury in patients with sepsis-induced myocardial injury.

Severe acute kidney injury (sAKI) is a prevalent and serious complication among patients with sepsis...