Urology

Synergistic mitochondrial homeostasis regulation and cholinergic circuits reconstruction via a one-step synthesized multifunctional hydrogel facilitates spinal cord injury repair.

Neural Stem Cells (NSCs) possess significant potential to form new neural networks. However, following spinal cord injury (SCI), mitochondrial dysfunction leads to the excessive accumulation of reactive oxygen species (ROS), which severely impairs the neuronal differentiation of endogenous NSCs and thus hinders neural regeneration. Here, we report a multifunctional hydrogel, Poly(LA-Cho)/SS31 (PLC...

Artificial intelligence in diagnostic, prognostic, and predictive genomic biomarkers for prostate cancer: Ready for prime time?

INTRODUCTION: Until recently, the widespread use of genetic markers in prostate cancer (PCa) has been limited by the complexities and cost of genomic data analysis. Artificial intelligence (AI), due to its ability to process large volumes of unstructured data, holds the potential to play a transformative role in the future of medical genetics. METHODS: We conducted a systematic literature review u...

SegRenal: AI-Driven segmentation of frozen sections in transplant kidney biopsies - A comparative analysis of deep learning models.

BACKGROUND AND OBJECTIVE: Frozen section evaluation of donor kidney biopsies is vital for determining transplant suitability, yet remains challenging ...

Weakly supervised treatment selection: Machine learning models for appropriate surgical planning of submandibular stones.

There is a gap in real-world clinical adoption of machine learning (ML) solutions due to the inherent uncertainty and variability in treatment outcome...

Dysfunctional resting state network connectivity predicts postoperative delirium after major surgery.

BACKGROUND: Postoperative delirium is associated with increased morbidity, mortality, future cognitive decline, or dementia. Understanding the neural ...

Development and validation of interpretable machine learning models for dynamic prediction of prognosis in acute pancreatitis complicated by acute kidney injury: A multicenter study.

OBJECTIVE: This study aims to develop and validate interpretable machine learning (ML) models to dynamically predict mortality risk among intensive ca...

Are Chat Generative Pre-trained Transformer Answers to Patient Questions Regarding Fecal Incontinence Accurate, Complete, and Consistent With the American Society of Colorectal Surgeons Clinical Practice Guidelines?

BACKGROUND: Chat Generative Pre-trained Transformer, an artificial intelligence large language model chatbot, transforms how patients obtain informati...

A Deep Learning-Based Multimodal Clinico-Histology-Genomic Prognostic Model in Prostate Cancer.

BACKGROUND: Prostate cancer remains a leading cause of cancer mortality, yet current risk stratification systems inadequately integrate multidimension...

Artificial intelligence-assisted uroflowmetry and automated evaluation of lower urinary system symptoms.

PURPOSE: This study aimed to develop and validate an AI-assisted framework for the automated evaluation of uroflowmetry data in patients presenting wi...

Machine learning survival analysis for predicting kidney disease progression in patients with acute kidney injury undergoing continuous kidney replacement therapy: An analysis of the LINKA database.

PURPOSE: The progression of acute kidney injury (AKI) to end-stage kidney disease (ESKD) poses challenges due to high risks of comorbidities and poor ...

Urinary Tumor DNA to Identify Candidates for Repeat Transurethral Resection in Non-Muscle-Invasive Bladder Cancer.

Repeat transurethral resection of bladder tumor (re-TURBT) is commonly recommended for patients with non-muscle-invasive bladder cancer (NMIBC) with h...

Generation of explainable QSAR models for predicting chemical-induced urinary tract toxicity.

Chemical-induced urinary tract toxicity, particularly in the bladder and ureters, remains undercharacterized relative to nephrotoxicity. We present an...

Integrated analysis of single-cell and bulk RNA-seq data identifies NR4A1-associated macrophages in immunoglobulin A nephropathy.

Immunoglobulin A nephropathy (IgAN), the most prevalent primary glomerulonephritis worldwide, is characterized by chronic renal inflammation and progr...

Visceral Adipose Tissue Alters Podometrics and Renal Compensation After Uninephrectomy.

INTRODUCTION: Obesity is an established risk factor for chronic kidney disease (CKD). However, excess visceral adipose tissue (VAT) termed visceral ob...

Methodological Variations in 24-Hour Urine Collection for Nephrolithiasis: A Systematic Review of Reporting Practices and Clinical Implications.

BACKGROUND: A 24-hour urine collection is central to the metabolic evaluation and prevention of nephrolithiasis. Despite its widespread use, methodolo...

Smooth Muscle Disruptive Feature Defines Molecular Subtyping, Risk Stratification, and Metastatic Potential in Prostate Cancer.

BACKGROUND: Smooth muscle (SM) invasion represents a critical feature of prostate cancer (PCa) progression and metastasis. This study aimed to develop...

Relationship between cardiometabolic index and worsening renal function in T2DM: Insights from machine learning, growth mixture modelling, and development of a web-based risk prediction tool.

AIM: Worsening renal function (WRF) is a common and serious complication of type 2 diabetes mellitus (T2DM), contributing to adverse clinical outcomes...

Boosting Array-based Diagnosis of Urinary Tract Infections via a Heterobifunctional Bridge-Driven Strategy.

Array-based sensing platforms have witnessed significant progress in recent years, demonstrating considerable potential for high-throughput and multip...

Artificial intelligence-driven prostate cancer diagnosis: Enhancing accuracy and personalizing patient care.

Prostate cancer remains a major global burden; diagnostic pathways rely on prostate-specific antigen (PSA), multiparametric magnetic resonance imaging...

Computational studies of target-specific radiopharmaceuticals for theranostics.

Radiopharmaceuticals are key tools in nuclear medicine, enabling both diagnostic imaging and targeted therapy for conditions such as cancer and neurol...