Urology

Clinically aligned whole-body MRI segmentation of skeletal metastases via Supervised Anatomical Pretraining.

In oncology practice, response assessment of metastatic disease requires reliable and reproducible q...

Associations of fine particulate matter pollution components with overall, prostate cancer, and cardiovascular disease mortality in men with prostate cancer: A cohort study.

BACKGROUND: Over 3.5 million US men are living with prostate cancer (Pica), many with underlying car...

Drug repurposing to combat multidrug-resistant hookworm.

Anthelmintic resistance (AR) poses an escalating threat to global soil-transmitted helminth control ...

Real-time high-throughput characterisation of the surface elasticity of suspended cells.

The intrinsic elasticity of the cell membrane-cortex complex, i.e., the cell surface, is a promising...

CLinNET: An Interpretable and Uncertainty-Aware Deep Learning Framework for Multi-Modal Clinical Genomics.

Identifying molecular drivers and diagnostic genes for neurocognitive disorders (NDs) remains a majo...

Emerging Role of Portable Accelerometers for Assessment of Gait Instability in Idiopathic Normal Pressure Hydrocephalus: A Systematic Review.

BackgroundIdiopathic normal pressure hydrocephalus (iNPH) is a reversible cause of gait disturbance,...

Multimodal Large Language Models for Cystoscopic Image Interpretation and Bladder Lesion Classification: Comparative Study.

BACKGROUND: Cystoscopy remains the gold standard for diagnosing bladder lesions; however, its diagno...

Development of a machine learning-based model for prediction of diabetes risk in patients with metabolic dysfunction-associated steatotic liver disease (MASLD).

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a leading chronic li...

Early prediction of pressure injury risk in hospitalized patients using supervised machine learning models based on nursing records.

This study aimed to employ supervised models for predicting pressure injuries in hospitalized patien...

A comprehensive multi-task deep learning model for kidney cancer: histological subtyping, clinical staging, and anatomical complexity grading.

OBJECTIVES: To develop and validate a multi-task deep learning (MTDL) model using multiphase contras...

Semi-supervised learning in prostate MRI tumor detection approaches fully supervised performance on external validation.

OBJECTIVE: To evaluate the diagnostic performance of semi-supervised learning models for aggressive ...

Effect of frailty status and histopathological features on upstaging of non-muscle-invasive bladder cancer: a critical analysis based on machine learning.

AIM: This study aimed to develop a machine learning (ML)-assisted model to predict the risk of upsta...

Novel proteomic subtypes of frailty with distinct molecular patterns and prognosis.

OBJECTIVES: The frailty phenotype has limitations in capturing the biological heterogeneity of the c...

Predicting kidney graft survival with a machine learning model based on for-cause biopsy transcriptomics.

Kidney transplantation significantly improves outcomes in end-stage renal disease, however, long-ter...

Prediction of renal cell carcinoma: Development and validation of machine learning model.

Renal cell carcinoma (RCC) is the leading cause of urinary system morbidity and mortality. Early ide...

An exploratory study on the relationship between renal cell carcinoma and CAFs infiltration by integrating Pathomics and collagen features.

OBJECTIVE: Cancer-associated fibroblasts (CAFs) are a critical component of the tumor microenvironme...

Accuracy, readability, and understandability of EAU guidelines bot for testicular cancer.

PURPOSE: Recently, the EAU guidelines presented the EAU guidelines bot to assist urologists in the r...

Coriandrum sativum improves prognosis in clear cell renal cell carcinoma by targeting NEK6 to modulate the immune microenvironment: a predictive study based on network pharmacology and multi-omics analysis.

Coriandrum sativum L. (coriander) is a medicinal herb with diverse pharmacological properties, but i...

Chronic kidney disease detection using XceptionNet with Harmonic Addax Optimization.

Chronic Kidney Disease (CKD) refers to a persistent and progressive impairment of kidney function oc...

Comment on 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.

Endocrine and metabolic determinants of cardiometabolic risk in mild autonomous cortisol secretion.

BACKGROUND: Benign adrenal tumours, found in 1-7% of adults, can be non-functioning (NFAT) or show m...