Urology

Targeted inhibition of RGS19 alleviates renal fibrosis by restoring autophagy and modulating immune cell infiltration.

Renal fibrosis, a progressive pathological feature of chronic kidney disease (CKD), is driven by impaired autophagic processes and persistent immune activation. The molecular mechanisms that interconnect these pathways remain inadequately understood. This study investigates the role of regulator of G-protein signaling 19 (RGS19), a novel autophagy-associated gene, in the pathogenesis of renal fibr...

Toward Prostate Cancer Early Warning with a Self-Powered Wearable Biosensing Platform Integrated with Machine Learning.

Current prostate cancer detection methods remain limited in non-invasiveness and specificity, prompting interest in urinary biomarkers such as sarcosine. Here, we report a urine-powered wearable platform for non-invasive sarcosine detection as a proof-of-concept for decentralized early warning. Distinct from prior urine-powered sensors, this platform establishes a hybrid bio-electrochemical energy...

[Albumin-myoestatosis gauge assisted by an artificial intelligence tool as a prognostic factor in patients with metastatic colorectal-cancer].

Objectives: to evaluate the prognostic role of the marker albumin-myosteatosis (MAM) in Caucasian patients with metastatic colorectal cancer. Material...

Predicting mortality and short-term outcomes of continuous kidney replacement therapies in neonates and infants.

BACKGROUND: Continuous kidney replacement therapy (CKRT) has emerged as a valuable treatment option in critically ill neonates and infants with acute ...

Artificial intelligence in urology training: practical benefits and real-world limits.

Comparative urinary metabolomics reveals unique and shared pathways in COVID-19 and liver diseases.

INTRODUCTION: The COVID-19 pandemic and liver diseases both cause significant metabolic disturbances, yet the specific mechanisms driving these change...

Transcriptome-based high-frequency recurrence index predicts frequent recurrence in non-muscle-invasive bladder cancer after Bacillus Calmette-Guérin therapy.

BACKGROUND: High-frequency recurrence (HfR, ≥ 2 recurrences) in non-muscle-invasive bladder cancer (NMIBC) poses a significant clinical burden. Curren...

Multi-dimensional dynamic monitoring of gut microbiota-emotion axis and precision exercise intervention in compulsory drug rehabilitation: A 24-week randomized controlled trial.

BACKGROUND/OBJECTIVES: Substance use disorders (SUDs) present a global health challenge with high relapse rates. Emerging evidence implicates gut micr...

Predicting Nocturnal Hypertension in CKD Through Table-Value Diffusion Model.

BACKGROUND: Ambulatory blood pressure monitoring is indispensable for diagnosing nocturnal hypertension (NH) among patients with chronic kidney diseas...

Artificial Intelligence Applications for Automated Data Extraction and Secondary Use of Clinical Information in Uro-oncology: A Systematic Review.

BACKGROUND AND OBJECTIVE: Manual data extraction is a major bottleneck in uro-oncology, limiting research and quality assurance. Although artificial i...

A transparent, lightweight and sustainable Green Learning AI model for prostate cancer detection on MRI.

OBJECTIVES: To develop a novel transparent and lightweight machine learning model, the Green Learning (GL), for automated prostate segmentation (PS) a...

Current Status and Future Perspective for Bladder Cancer MR Imaging and the Vesical Imaging-Reporting and Data System (VI-RADS) in Japan: Challenges and Solutions.

Bladder cancer carries one of the highest lifetime costs among malignancies, and accurate distinction between non-muscle-invasive and muscle-invasive ...

CystoDS: a multiclass endoscopy image dataset for artificial intelligence-assisted bladder cancer detection.

Cystoscopy is a common endoscopic procedure used for the visual inspection of the lower urinary tract, particularly for the detection and surveillance...

Radiopharmaceuticals: Status, Regulatory Landscape and Future Perspective.

Radiopharmaceuticals are biologically active molecules labeled with radionuclides that have advanced the possibility of the nuclear medicine. They sup...

CPGPrompt: translating clinical guidelines into large language model-executable decision support.

OBJECTIVE: Clinical practice guidelines (CPGs) provide evidence-based recommendations for patient care; however, integrating them into artificial inte...

Generative AI Uncovers Novel Chrebp/Txnip Axis Inhibitors with Potential Anti-inflammatory Activity.

Type 2 diabetes is driven in part by metabolic inflammation, where activation of the Chrebp/Txnip axis promotes NLRP3 inflammasome assembly, leading t...

Using AI in Forward-Backward Translation of Questionnaires for Men Invited to Prostate Cancer Screening: Methodological Study.

BACKGROUND: Translation is important in research to ensure cultural relevance, accuracy, and generalizability, particularly in cross-cultural studies....

Interpretable machine learning for chronic kidney disease prediction: Insights from SHAP and LIME analyses.

Chronic kidney disease (CKD) is a progressive condition requiring early detection for optimal patient outcomes. This study developed an interpretable ...

Association between hypothermic machine perfusion parameters and graft function in deceased donor kidney transplantation.

BACKGROUND: Kidney transplantation (KT) is the most effective treatment for end-stage renal disease. Hypothermic machine perfusion (HMP) can improve r...

AI-based prostate volume estimation from multi-planar MRI under variable acquisition protocols.

BACKGROUND: Prostate MRI protocols vary across institutions, with abbreviated protocols increasingly limited to axial plane acquisitions. Conventional...