Urology

Identification of a panel of volatile organic compounds in urine for early detection of for bladder cancer.

The absence of specific markers makes early detection of bladder cancer (BC) challenging. Recent studies have reported the reliable diagnostic significance of volatile organic compounds (VOCs) in several cancers. This study aimed to investigate whether urinary VOCs could serve as potential biomarkers for BC. A total of 89 BC patients and 67 healthy individuals were recruited for this study. VOCs i...

Combining Clinical, Genetic and Protein Markers Using Machine Learning Models Discriminates Psoriatic Arthritis Patients From Those With Psoriasis.

BACKGROUND: Psoriatic Arthritis (PsA), an immune mediated inflammatory arthritis, affects a quarter of patients with cutaneous psoriasis, usually after psoriasis onset. Early diagnosis of PsA is challenging. A biomarker-based diagnostic test may facilitate early diagnosis.

Natural products in treating diabetic kidney disease: a visualized bibliometric analysis.

BACKGROUND: Diabetic kidney disease (DKD) is one of the most significant complications in diabetic patients, yet current therapeutic options are limit...

Deep learning feature-based model for predicting lymphovascular invasion in urothelial carcinoma of bladder using CT images.

OBJECTIVES: Lymphovascular invasion significantly impacts the prognosis of urothelial carcinoma of the bladder. Traditional lymphovascular invasion de...

Machine Learning-based Dose Prediction in [Lu]Lu-PSMA-617 Therapy by Integrating Biomarkers and Radiomic Features from [Ga]Ga-PSMA-11 Positron Emission Tomography/Computed Tomography.

PURPOSE: The study aimed to develop machine learning (ML) models for pretherapy prediction of absorbed doses (ADs) in kidneys and tumoral lesions for ...

VADEr: Vision Transformer-Inspired Framework for Polygenic Risk Reveals Underlying Genetic Heterogeneity in Prostate Cancer.

Polygenic risk scores (PRSs) serve as quantitative metrics of genetic liability for various conditions. Traditionally calculated as an effect size wei...

MRI-based radiomics for differentiating high-grade from low-grade clear cell renal cell carcinoma: a systematic review and meta-analysis.

PURPOSE: High-grade clear cell renal cell carcinoma (ccRCC) is linked to lower survival rates and more aggressive disease progression. This study aims...

Coixol Protects Against Acute Kidney Injury by Reducing Cell Senescence.

Acute kidney injury (AKI) is associated with increased in-hospital mortality, yet effective therapeutic agents remain limited. Coixol, a polyphenolic ...

Fibrogenesis-driven tumor progression in clear cell renal cell carcinoma: prognostic, therapeutic implications and the dual role of neuropilin-1.

BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is the predominant subtype of renal cancer, with a poor prognosis driven by therapy resistance and...

Determination of Nitrogen Metabolism-Related Prognostic Signatures for Forecasting Bladder Cancer Prognosis.

BACKGROUND: Bladder cancer is one of the major health threats worldwide, and aberrant regulation of nitrogen metabolism is closely related to its deve...

Taking notes: A urologist's "tech"-nique for streamlining patient encounters using artificial intelligence medical scribes.

From Preliminary Urinalysis to Decision Support: Machine Learning for UTI Prediction in Real-World Laboratory Data.

: Urinary tract infections (UTIs) are frequently diagnosed empirically, often leading to overtreatment and rising antimicrobial resistance. This study...

Identification of Key Genes and Potential Therapeutic Targets in Sepsis-Associated Acute Kidney Injury Using Transformer and Machine Learning Approaches.

Sepsis-associated acute kidney injury (SA-AKI) is a life-threatening complication of sepsis, characterized by high mortality and prolonged hospitaliza...

MRMS-CNNFormer: A Novel Framework for Predicting the Biochemical Recurrence of Prostate Cancer on Multi-Sequence MRI.

Accurate preoperative prediction of biochemical recurrence (BCR) in prostate cancer (PCa) is essential for treatment optimization, and demands an expl...

Comparative Study of Cell Nuclei Segmentation Based on Computational and Handcrafted Features Using Machine Learning Algorithms.

Nuclei segmentation is the first stage of automated microscopic image analysis. The cell nucleus is a crucial aspect in segmenting to gain more insig...

Exploring the impact of artificial intelligence-enabled decision aids in improving patient inclusivity, empowerment, and education in urology: a systematic review by EAU endourology.

PURPOSE OF REVIEW: The implementation of artificial intelligence (AI) in urology has the potential to enhance patient outcomes through the provision o...

Recent advancements in personalized management of prostate cancer biochemical recurrence after radical prostatectomy.

PURPOSE OF REVIEW: Biochemical recurrence (BCR) after radical prostatectomy exhibits heterogeneous prognostic implications. Recent advancements in ima...

Deciphering the Immunomodulatory Function of GSN Inflammatory Cancer-Associated Fibroblasts in Renal Cell Carcinoma Immunotherapy: Insights From Pan-Cancer Single-Cell Landscape and Spatial Transcriptomics Analysis.

The heterogeneity of cancer-associated fibroblasts (CAFs) could affect the response to immune checkpoint inhibitor (ICI) therapy. However, limited stu...

An All-in-one Nanohole Array for Size-Exclusive Trapping and High-Throughput Digital Counting of Single Extracellular Vesicles for Non-invasive Cancer Screening.

The analysis of single small extracellular vesicles (sEVs) could distinguish the heterogeneity of sEVs thus better extract tumor-related signatures. C...

Effects of Hepatic or Renal Impairment on Pharmacokinetics of Fruquintinib.

Fruquintinib (FRUZAQLA) is a highly selective tyrosine kinase inhibitor of all three vascular endothelial growth factor receptors (-1, -2, and -3). Tw...