Urology

Bridging structure and function: artificial intelligence-based modelling of kidney proteins.

The ability to predict the three-dimensional structure of a protein from its amino acid sequence has...

Prosta-omics: machine learning-driven TPSA prediction and molecular modeling of ASPM-inhibitors for prostate cancer treatment.

Prostate cancer exhibits complex transcriptional heterogeneity that underlies disease progression an...

Multimodal MRI-based two-stage artificial intelligence framework for renal fibrosis classification in chronic kidney disease.

MAAR-Net: Multi-scale attention-assisted residual neural network for renal microvascular structure segmentation.

Renal disease represents a significant public health concern, with renal microvascular lesions playi...

Convolutional neural networks for prostate cancer detection, classification, and segmentation: A systematic review and bibliometric analysis.

BACKGROUND: Prostate cancer represents the second most common malignancy among men globally, necessi...

Neoadjuvant Systemic Therapy in Kidney and Bladder Cancer: Current Evidence and Emerging Paradigms.

Neoadjuvant systemic therapy has emerged as a strategy to improve outcomes in high-risk localized ge...

AI-based BRAIx risk score for the intermediate-term prediction of breast cancer: a population cohort study.

BACKGROUND: Artificial intelligence (AI)-based algorithms are being implemented in breast screening ...

Characterization of Kidney and Liver Cystic Phenotype Associated with GANAB Using Advanced Imaging Biomarkers.

UNLABELLED: : Background and Hypothesis: Monoallelic pathogenic variants in GANAB cause autosomal do...

Influence of body composition on the efficacy of nivolumab plus ipilimumab for metastatic clear cell renal cell carcinoma.

BACKGROUND: Immune checkpoint inhibitor therapy (ICI) with nivolumab+ipilimumab is a first-line (1L)...

A domain-adaptive deep contrastive network for magnetic resonance imaging-driven bladder cancer classification.

Bladder cancer is one of the most prevalent malignancies of the urinary system and is associated wit...

Integrative multi-omics analysis reveals metabolic dysfunction signatures as critical determinants of prostate cancer prognosis and immunosuppressive microenvironments.

BACKGROUND: Metabolic reprogramming is a hallmark of cancer. However, the precise mechanisms by whic...

Machine learning approaches to optimize the integration of sociodemographic factors for predicting cancer-specific survival among patients with high-risk prostate cancer.

BACKGROUND: Sociodemographic factors influence the outcomes of prostate cancer (PCa); however, they ...

Advances and challenges of PET imaging in bladder cancer-An update and future trends.

Molecular imaging with positron emission tomography (PET) is a powerful tool in the clinical managem...

AutoPET Challenge on Fully Automated Lesion Segmentation in Oncologic PET/CT Imaging, Part 2: Domain Generalization.

This article reports the results of the second iteration of the autoPET challenge on automated lesio...

PSA-1DCNN: Multimodal Biomarker and Text Integration for Lung Cancer Diagnosis.

Integrating multimodal data, such as unstructured clinical narratives and quantitative blood biomark...

Benchmarking multiple instance learning architectures from patches to pathology for prostate cancer detection and grading using attention-based weak supervision.

Histopathological evaluation is necessary for the diagnosis and grading of prostate cancer, which is...

Integrated scRNA-seq and bulk transcriptomics identify an amino acid metabolism-associated prognostic signature and highlight FUS as a potential driver in prostate cancer progression.

Prostate cancer (PCa) exhibits marked metabolic heterogeneity, yet the prognostic implications of am...

From data to decision: integrating causality AI and predictive analytics in endourological practice-a descriptive guide for clinicians from EAU Endourology.

PURPOSE: The proposed review aims to provide a guide on current developments of artificial intellige...

Renal interstitial inflammation predicts IgA nephropathy progression via multiple machine learning models.

BACKGROUND: Renal interstitial inflammation (RII) is a frequent pathological feature in IgA nephropa...

ASO Visual Abstract: Lymph Node Invasion Prediction in Prostate Cancer: A Comparative Machine Learning Study.

Integrated approaches to preventing macrovascular complications in type 2 diabetes mellitus: Advances in secondary prevention.

BACKGROUND: Type 2 diabetes mellitus (T2DM) substantially increases the risk of macrovascular compli...