Urology

Implantable bladder sensors for real-time urodynamics: A systematic review of preclinical and clinical evidence in neuro-urology.

BACKGROUND: Catheter-based urodynamic studies remain the standard for diagnosing lower urinary tract dysfunction, but are limited by discomfort, infection risk, and restricted monitoring duration. Emerging implantable bladder sensors offer the potential for real-time wireless pressure monitoring without the need for catheters, with promising applications in neurology. This study was aimed to syste...

Gut Microbiome as a Lifestyle Risk Factor Associated with Prostate Cancer.

BACKGROUND AND OBJECTIVE: Most prostate cancer prevention strategies suggest lifestyle modifications, which lack personalization. Gut microbiome is increasingly recognized as an influencing factor in nongastrointestinal cancers, including prostate cancer. The use of gut microbiome as a lifestyle biomarker could help identify individuals with lifestyle more prone to prostate cancer and allow for mo...

Analysing DCE-MRI scans using hybrid techniques for early detection of prostate cancer based on fusion features of handcrafted and deep learning features.

Prostate cancer is among the most diagnosed malignancies in men worldwide and a leading cause of cancer-related mortality. Early and accurate diagnosi...

Deep learning-based prediction of interfractional anatomic variations in prostate cancer radiotherapy.

PURPOSE: Interfractional prostate displacement challenges the accuracy of the delivered dose during radiotherapy treatment. Variation in bladder volum...

ERBB2 as a Prognostic Biomarker in Prostate Cancer: Integration of Single-Cell Transcriptomics, Deep Learning, and Immunohistochemical Validation.

Biochemical recurrence (BCR) is a critical factor affecting the prognosis of prostate cancer (PCa) patients, while T cell exhaustion and metastatic pr...

The accuracy of carbon-13 NMR magnetic-shielding tensors calculated using periodic DFT: a case study on the distinction of crystalline serine phases.

Carbon-13 nuclear magnetic resonance (NMR) spectroscopic fingerprints enable the unambiguous identification of a chemical compound. Ab initio calculat...

Analysis of passive bloodstain morphology across surface textures and drop heights using deep learning.

Bloodstain pattern analysis (BPA) is a critical forensic science tool for reconstructing crime scene events. In this study, the effect of substrate ty...

Green in-situ photoreduction synthesis of SERS substrates based on violet phosphorus arrays/silver nanoparticles for ultrasensitive detection and accurate identification of UTI bacteria.

Surface-enhanced Raman spectroscopy (SERS) holds significant promise for identifying urinary tract infection (UTI) pathogens due to its exceptional se...

Application of fractal theory in cancer detection: A review.

Fractal theory has emerged as a quantitative framework for characterizing the complex and heterogeneous architecture of cancerous tissues; however, it...

CT-based subregional and peritumoral radiomics for predicting pathological T stage of clear cell renal cell carcinoma: an exploratory study of biological mechanisms.

OBJECTIVES: To evaluate intratumoral subregional and peritumoral radiomics for predicting pathological T stage of clear cell renal cell carcinoma (ccR...

Digital pathology-based artificial intelligence algorithms in prostate cancer: inside the 'black box'.

Artificial intelligence (AI) algorithms leveraging digital pathology slides are currently transforming the way urological cancers are diagnosed and gr...

Machine learning-predicted insulin resistance is a risk factor for 12 types of cancer.

Insulin resistance is suggested to be a risk factor for cancer; however, large-scale epidemiological evidence linking insulin resistance to cancer rem...

Risk Prediction of Chronic Kidney Disease Progression in Type 2 Diabetes Mellitus Across Diverse Populations.

Chronic kidney disease (CKD) is a common complication of type 2 diabetes mellitus (T2DM), with limited predictive tools for individualized prognosis, ...

Toward an explainable AI-Based clinical decision support system for predicting adverse outcomes in Rhabdomyolysis.

Rhabdomyolysis is a severe condition with high morbidity and mortality, driven by complications like acute kidney injury. Early risk stratification re...

Evolving strategies in prostate cancer: Emerging approaches and unmet needs from the Bridging the Gaps in Prostate Cancer expert panel.

BACKGROUND: The expansion of treatment options for prostate cancer (PC) has improved disease-specific and overall survival outcomes but has also raise...

The understandability and actionability of AI-generated information for patients with chronic kidney disease.

OBJECTIVES: This study assessed the understandability, actionability, and overall quality of Artificial Intelligence (AI)-generated responses to frequ...

The emerging role of machine learning-based methods in cancer classification using microRNA.

Early detection and accurate classification of cancer are crucial to improving patient outcomes. Diagnosis and classification of tumors using conventi...

An allostatic load domain-specific metabolic profile in young adults: The African-PREDICT study.

Allostatic load scores (ALSs) quantify the cumulative physiological burden of sustained stress across neuro-endocrine, metabolic, cardiovascular and i...

Integration of bulk and single-cell transcriptomic sequencing reveals the neutrophil heterogeneity in bladder cancer and establishes a prognostic model.

Interpretable habitat and peritumoral radiomics from multiparametric MRI for preoperative high-risk prostate cancer prediction: a multi-institutional study.

BACKGROUND: Current preoperative assessment faces limitations, including PI-RADS scoring subjectivity and diagnostic uncertainty in distinguishing hig...