Urology

Dual nanozyme sensor enables rapid at-home cancer surveillance.

Early detection of cancer is critical for improving patient survival rates, and current in vitro dia...

Optimizing Fragmentation while Minimizing Thermal Injury Risk with the Thulium Fiber Laser in Ureteral Stone Lithotripsy: An In Vitro Study.

To optimize thulium fiber laser (TFL) settings for effective stone fragmentation although minimizin...

Prostate cancer clinicopathological presentation in South-East Africa during the 2010 decade.

Prostate cancer (PCa) is the leading cause of cancer-associated death amongst men across Sub-Saharan...

Analysis of gray zone PSA and PSAD correlated with PIRADS v2.1 in the MRI-US fusion prostate biopsy era: a retrospective bi-centre study.

BACKGROUND: Multiple parameters including PSA, PSAD, and PIRADS v2.1 score, are being associated in ...

Deep learning assisted identification of SCUBE2 and SLC16 A5 combination in RNA-sequencing data as a novel specific potential diagnostic biomarker in prostate cancer.

Despite the extensive use of biomarkers like PSA, AMACR, and PCA3, prostate cancer (PCa) is still a ...

Comparison of Machine Learning Algorithms and Bayesian Estimation in Predicting Tacrolimus Concentration in Tunisian Kidney Transplant Patients During the Early Post-Transplant Period.

BACKGROUND AND OBJECTIVE: Model-informed precision dosing (MIPD), based on a Bayesian approach and m...

Using N-Nitrosodiethanolamine (NDELA) and N-Nitrosopiperidine (NPIP) Transgenic Rodent Gene Mutation Data and Quantum Mechanical Modeling to Derive Potency-Based Acceptable Intakes for NDSRIs Lacking Robust Carcinogenicity Data.

Acceptable intake (AI) limits for nitrosamine drug substance related impurities (NDSRIs) that lack c...

Systemic inflammation mediates the relationship between urinary cadmium and chronic cough risk: findings based on multiple statistical models.

Epidemiological research examining the relationship between urinary cadmium and the risk of chronic ...

Mechanisms involved in pro-inflammatory responses to traffic-derived particulate matter (PM) in THP-1 macrophages compared to HBEC3-KT bronchial epithelial cells.

The pro-inflammatory responses in THP-1-derived macrophages and human bronchial epithelial cells (HB...

The added value of artificial intelligence using Quantib Prostate for the detection of prostate cancer at multiparametric magnetic resonance imaging.

PURPOSE: Artificial intelligence (AI) has been proposed to assist radiologists in reporting multipar...

Enhancing Organ Allocation Efficiency: A Pilot Study Evaluating Artificial Intelligence-Assisted Assessment of Donor Kidney Pathology.

PURPOSE: The purpose of this study is to evaluate the effectiveness of an artificial intelligence (A...

Machine learning-derived multivariate renal function trajectories in acute kidney injury in critically ill patients: a multicentre retrospective study.

BACKGROUND: Acute kidney injury (AKI) exhibits considerable heterogeneity. The objective of the curr...

Correction to "The Melamine-Driven Solvation Effect Promotes Oxygen Reduction on Platinum Catalyst: Machine Learning-Aided Free Energy Calculations".

Comparative Analysis of Machine Learning Models for Predicting Hospital- and Community-Associated Urinary Tract Infections Using Demographic, Hospital, and Socioeconomic Predictors.

BACKGROUND: Urinary tract infections (UTI) are among the most common infections encountered in both ...

New Targets for Imaging in Nuclear Medicine.

Nuclear medicine is rapidly evolving with new molecular imaging targets and advanced computational t...

Innovative, Technology-Driven, Digital Tools for Managing Pediatric Urinary Incontinence: Scoping Review.

BACKGROUND: Urinary incontinence affects approximately 7% to 10% of children during the day and 9% t...

Machine learning models for acute kidney injury prediction and management: a scoping review of externally validated studies.

Despite advancements in medical care, acute kidney injury (AKI) remains a major contributor to adver...

Pix2Pix generative-adversarial network in improving the quality of T2-weighted prostate magnetic resonance imaging: a multi-reader study.

PURPOSE: To assess the performance and feasibility of generative deep learning in enhancing the imag...

Associations between urinary and blood heavy metal exposure and heart failure in elderly adults: Insights from an interpretable machine learning model based on NHANES (2003-2020).

BACKGROUND: The relationship between heavy metal exposure and heart failure is complex and poorly un...

PSMA PET/CT for prostate cancer diagnosis: current applications and future directions.

Prostate cancer (PCa) requires improved diagnostic strategies beyond conventional imaging. This revi...

Multi-objective optimization framework to plan laser ablation procedure for prostate tumors through a genetic algorithm.

BACKGROUND AND OBJECTIVES: Prostate cancer is the most common form of cancer in the male population....