Urology

Latest AI and machine learning research in urology for healthcare professionals.

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Modelling the epidemic dynamics of HPV among women in China and optimization of ongoing cervical cancer elimination strategies.

BACKGROUND: The infection of high-risk human papillomavirus (hr-HPV) and related cervical cancer have greatly threatened women's health. However, the benefits of ongoing strategies in China remains unclear. Insufficient vaccine supply and excessive screening workload have hindered the widespread implementation of HPV immunization plans. METHODS: We constructed stratified mathematical models to sim...

Apr 22 2026 42021319

Urinary Proteomics: Biological Foundations, Analytical Frameworks, and Clinical Translation Across Human Diseases.

Urinary proteomics has swiftly emerged as a formidable tool for the identification of non-invasive biomarkers and the surveillance of diseases. The progression in high-resolution mass spectrometry and data-independent acquisition techniques has facilitated the urinary proteome in providing detailed insights into intricate pathophysiological processes impacting multiple organ systems. This review s...

Apr 22 2026 42024578
Urinary extracellular vesicle miRNA signature reflects pancreatic islet stress in type 2 diabetes.

INTRODUCTION: Type 2 diabetes (T2D) is a progressive metabolic disorder characterized by insulin resistance and progressive β-cell dysfunction. Early ...

Apr 22 2026 42017432
Deep-learning computer-aided detection and classification of prostate lesions on biparametric MRI: comparison with expert readers.

OBJECTIVE: To assess the performance of a deep learning-based computer-aided detection (DL-CAD) algorithm for prostate lesion detection and classifica...

Apr 22 2026 42018265
Laboratory Medicine Approaches for Assessing Delayed Graft Function in Renal Transplant.

BACKGROUND: Delayed graft function (DGF) remains a significant complication in renal transplantation, adversely affecting graft survival, patient qual...

Apr 22 2026 42018487
Delineating Pediatric Adrenocortical Tumors by GC-MS Urinary Steroid Metabolome Analysis: Observations From the MET Study.

INTRODUCTION: Adrenocortical tumors (ACTs) comprise adrenocortical adenomas (ACAs) and adrenocortical carcinomas (ACCs); the latter are highly aggress...

Apr 22 2026 41225718
Game of clones: decipher lineage plasticity in hormone-driven cancers.

Hormone-dependent cancers such as prostate, breast, and endometrial carcinomas rely on nuclear hormone receptors to sustain lineage identity and growt...

Apr 22 2026 42014520
Decoding the renal-cochlear axis: explainable machine learning and phenotype clustering reveal high-risk hearing loss subtypes in CKD.

This study develops a dual-level machine learning framework for risk stratification and phenotyping of hearing loss (HL) in patients with chronic kidn...

Apr 21 2026 42015590
Explainable machine learning using urinary metabolomics to predict pediatric sepsis-associated acute kidney injury: a two-center prospective observational study.

Sepsis-induced acute kidney injury (S-AKI) is a common and serious complication in critically ill children with a poor prognosis, and its early and ac...

Apr 21 2026 42015601
Divergent macrophage-regulated T cell states determine response to Bacillus Calmette-Guérin vaccine in high-risk bladder cancer.

BACKGROUNDPrimary therapy for high-risk bladder cancer (BCa) is repeated instillations of the tuberculosis vaccine Bacillus Calmette-Guérin (BCG). Alt...

Apr 21 2026 42081487
Analytical validation of a highly accurate and reliable next-generation sequencing-based urine assay.

Urinary tract infections (UTIs) are diagnosed based on symptoms and confirmed by urine culture, despite its limitations in sensitivity. False-negative...

Apr 21 2026 42012213
Whole-brain connectome analysis for elucidating specific structural neural networks in idiopathic normal-pressure hydrocephalus.

OBJECTIVE: To test the hypothesis that idiopathic normal-pressure hydrocephalus (iNPH) is also associated with reproducible whole-brain structural con...

Apr 21 2026 42012610
Enhancing Target Recognition Performance in SSVEP-Based Brain-Computer Interfaces via Deep Neural Networks with Pyramid Squeeze Attention.

Steady state visual evoked potential (SSVEP)-based brain-computer interfaces have been widely studied for their fast response speeds and high informat...

Apr 21 2026 42013255
IPEM Topical Report: A National Survey of MRI Use for External Beam Radiotherapy Treatment Planning in the UK: 2025 IPEM Survey Results.

Magnetic Resonance Imaging (MRI) offers superior soft tissue contrast compared to Computed Tomography (CT), making it highly valuable in external beam...

Apr 21 2026 42013904
Online adaptive radiotherapy: Clinical utility, challenges and perspectives.

Online adaptive radiotherapy (oART) represents a major evolution in radiation oncology, enabling daily plan adaptation to account for anatomical varia...

Apr 20 2026 42019592
Clinical utility of BOLD-MRI in accurate diagnosis and prognostic evaluation of diabetic nephropathy: a prospective renal biopsy-based cohort study.

OBJECTIVES: To validate blood oxygen level-dependent MRI (BOLD-MRI) for non-invasive discrimination of diabetic nephropathy (DN) vs non-diabetic renal...

Apr 20 2026 42008071
Physics-informed deep learning for rapid marine radionuclide dispersion forecasting in nuclear emergency response.

In the event of a severe nuclear accident at a coastal nuclear power plant, the rapid and accurate assessment of radionuclide dispersion in surroundin...

Apr 20 2026 42013683
GUIDE-US: grade-informed unpaired distillation of encoder knowledge from histopathology to micro-ultrasound.

PURPOSE: Non-invasive grading of prostate cancer (PCa) from micro-ultrasound (micro-US) could expedite triage and guide biopsies toward the most aggre...

Apr 19 2026 42001367
Deep learning for fluorescence confocal microscopy image interpretation in radical prostatectomy.

OBJECTIVE: To develop and validate a deep learning model for interpretation of fluorescence confocal microscopy (FCM) images for intraoperative surgic...

Apr 19 2026 42001901
Multimodal machine learning integrates clinical and comorbidity data to predict breast cancer prognosis and treatment outcomes.

Breast cancer prognosis and treatment outcomes are shaped by intricate interplay between tumor biology, systemic comorbidities, and patient-reported f...

Apr 19 2026 42002617
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