Urology

Machine learning prediction of common bile duct stones using synthetic data to guide emergency ERCP decisions.

Endoscopic retrograde cholangiopancreatography (ERCP) remains the standard for common bile duct (CBD) stone removal. However, current guidelines often result in unnecessary procedures. This study aimed to develop and validate a machine learning model using synthetic data augmentation to improve CBD stone prediction. Electronic health records from patients with suspected CBD stones were analyzed fr...

HOX code-based stratification reveals RUNX1T1-HDAC reprogramming as a targetable driver of lineage plasticity across cancers.

Cancer remains a leading cause of death worldwide, with lineage plasticity emerging as a hallmark that drives therapy resistance and tumor progression by enabling cancer cells to alter identity and evade targeted therapies. Although genomic and transcriptomic aberrations correlate with lineage plasticity, the absence of scalable cross-cancer markers to rapidly identify plastic subtypes has limited...

Extraction of distant recurrence sites for breast cancer patients from free-text clinical notes using large language models.

OBJECTIVES: Accurate documentation of distant recurrence sites in breast cancer is essential for evaluating treatment effectiveness and outcomes resea...

Association between triglyceride-glucose index and related indicators with heart failure-related mortality in individuals with early-stage cardiovascular-kidney-metabolic syndrome.

BACKGROUND: Insulin resistance is a central pathophysiological feature of cardiovascular-kidney-metabolic (CKM) syndrome and has been implicated in ad...

Agentic AI for Prostate Cancer: A Vision for Multimodal Clinical Intelligence.

While artificial intelligence (AI) is rapidly advancing in prostate cancer diagnostics and therapy planning, its impact on everyday clinical decision-...

Circulatory dietary and gut-derived metabolites predict early cognitive decline.

INTRODUCTION: A key component of disease prevention is the identification of at-risk individuals. Microbial dysbiosis in the early stages of cognitive...

Machine learning classification of normal and malignant cells on the basis of their viscoelastic properties.

BACKGROUND AND OBJECTIVE: Cell mechanics, elasticity and viscoelasticity, are key markers of biological states like cancer. Atomic force microscopy (A...

Predictive role of Bladder wall dosimetry in conventional prostate Radiotherapy: Integrating AI and statistical Modelling.

BACKGROUND AND PURPOSE: Genitourinary toxicity is a common complication of prostate radiotherapy. Conventional bladder dosimetry may not adequately re...

ACOT8-mediated palmitate accumulation promotes M1 macrophage polarization in renal ischemia-reperfusion injury via activation of the cGAS-STING pathway.

Renal ischemia-reperfusion injury (IRI) is a major cause of acute kidney injury, involving complex mechanisms of metabolic dysregulation and immune in...

Incremental Prognostic Value of Pericardial Adipose Tissue Radiomic Phenotype Based on Cardiac MRI in Patients With End-Stage Renal Disease.

BACKGROUND: While pericardial adipose tissue (PEAT) volume is linked to cardiac risk, the prognostic value of its radiomic features for major adverse ...

Artificial Intelligence and Multiomics Beyond PSA Screening in African and Middle Eastern Prostate Cancer Patients.

Prostate cancer (PCa) remains a major global health burden, with incidence rising as populations age. The molecular, histological, and patient-specifi...

Prediction of acute kidney injury in patients with acute pesticide poisoning using the PKIP score.

Acute pesticide poisoning frequently leads to acute kidney injury (AKI), which is strongly associated with increased mortality. However, predictive re...

Clinically significant prostate cancer detection with deep learning in a multi-center magnetic resonance imaging study.

Accurate early detection of clinically significant prostate cancer is crucial for improving patient outcomes. However, traditional diagnostic methods ...

Development of a high-altitude renal disease diagnostic model based on machine learning and multiple biomarker detection: a retrospective study of 19,068 patients.

BACKGROUND AND AIMS: Early detection of chronic kidney disease (CKD) in high-altitude regions remains difficult due to physiological adaptations that ...

Multi-dimensional CT feature screening, construction, and validation of a clinical diagnostic model for thyroid eye disease.

OBJECTIVE: Thyroid eye disease (TED) is an autoimmune condition associated with thyroid dysfunction, often presenting with complex and variable orbita...

Digitally Assessed Nucleolar Size Compared to Traditional Pathologist WHO Grade Allocation in Clear Cell Renal Cell Carcinoma.

Traditional WHO grading for renal cell carcinoma (RCC), largely based on nucleolar prominence, has well-known intraobserver and interobserver variabil...

Prostate cancer tissue mapping and stratification using DRAQ5 and Eosin fluorescent labels integrated with AI classification and segmentation algorithms.

BACKGROUND: Fluorescent microscopy using the DRAQ5 and Eosin probes has been shown in the literature to be capable of producing rapid tissue character...

Clinical prediction of the mortality for acute kidney injury in decompensated cirrhosis.

Acute kidney injury (AKI) is a severe complication in patients with decompensated cirrhosis, associated with increased mortality. This study aimed to ...

In-silico study of machine learning discovers de novo lipogenesis for predicting prognosis and immunotherapy responses in kidney renal clear cell carcinoma.

Prediction of graft outcomes after kidney transplantation: When standard statistics compare to machine learning techniques.

BACKGROUND: Over the last decade, the use of machine learning (ML) techniques in problem modeling and solving has increased significantly, including i...