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,...

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...

Analytical Comparison of Commonly Used Laboratory-Developed Tests for the Assessment of Ki-67 in Breast Carcinoma With an FDA-Approved Benchmark.

Ki-67 immunohistochemistry (IHC), a commonly used assay for breast cancer risk prognostication, has ...

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.

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...

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 ...

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...

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 ...

Towards more reliable prostate cancer detection: Incorporating clinical data and uncertainty in MRI deep learning.

Prostate cancer (PCa) is one of the most common cancers among men, and artificial intelligence (AI) ...

A lipid atlas of the human kidney.

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

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...

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 ...

"Artificial intelligence and multi-modal data integration in renal cell carcinoma a review of its potential and limitations".

Accuracy and teachability of artificial intelligence chatbots in solving pharmaceutical calculations: a descriptive study.

BACKGROUND: Pharmaceutical calculations are required elements of the Doctor of Pharmacy curriculum i...

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...

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 ...

Machine Learning-Enhanced Structure-Based Gaussian Expansion for Efficient Wavepacket Calculations.

The theoretical treatment of molecular wavepackets remains computationally demanding and becomes inc...

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...

Association of urinary metal elements with sarcopenia and glucose metabolism abnormalities: Insights from NHANES data using machine learning approaches.

BACKGROUND: Sarcopenia, a condition marked by the decline of skeletal muscle mass and function, is p...