Nephrology

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

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Showing 148-168 of 3,910 articles
In silico prediction of drug-induced cardiotoxicity with ensemble machine learning and structural pattern recognition.

Drug-induced cardiotoxicity poses a significant risk to human health, and reliable predictive models...

Aptamer-directed siRNA delivery systems for triple-negative breast cancer therapy.

Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer characterized by the ...

Renal Dysfunction Across the Spectrum of Cardiogenic Shock: Mechanisms, Clinical Implications, and Therapeutic Strategies.

PURPOSE OF REVIEW: This review aims to elucidate the complex interplay between cardiogenic shock (CS...

Bioethical challenges in the integration of artificial intelligence in transplant surgery 4.0: A scoping review.

INTRODUCTION: The integration of artificial intelligence (AI) into transplant surgery offers potenti...

A Comparative Assessment of Large Language Models in Pediatric Dialysis: Reliability, Quality and Readability.

INTRODUCTION: This study evaluated the reliability, quality, and readability of ChatGPT (OpenAI, San...

Machine learning model for the prediction of postoperative acute kidney injury (AKI) in neonates undergoing digestive surgery.

OBJECTIVE: The aim of our study is to determine the main predictors of postoperative AKI in neonates...

Orchestrating Penta-Element Interplay in Gradient-porous Carbons for Advanced Sodium-Ion Hybrid Capacitors.

Sodium-ion hybrid capacitors (SIHCs) offer a cutting-edge synergy between battery-level energy densi...

Exploring the association between volatile organic compound exposure and chronic kidney disease: evidence from explainable machine learning methods.

BACKGROUND: Chronic Kidney Disease (CKD) affects approximately 697.5 million people worldwide. Volat...

Classification of primary glomerulonephritis using machine learning models: a focus on IgA nephropathy prediction.

OBJECTIVE: IgA nephropathy (IgAN) is the most common form of glomerulonephritis worldwide, character...

Machine Learning-Based Biomarker Discovery from Serum Trace Elements and Biochemical Parameters in Patients with Nasal Polyps.

Nasal polyps (NP) are benign mucosal outgrowths associated with chronic inflammation that can signif...

Hyperspectral Imaging Combined With Deep Learning for Precision Grading of Clear Cell Renal Cell Carcinoma.

This study presents an integrated approach combining hyperspectral imaging (HSI) and deep learning f...

Machine learning-based hybrid risk estimation system (ERES) in cardiac surgery: Supplementary insights from the ASA score analysis.

Accurate prediction of postoperative mortality risk after cardiac surgery is essential to improve pa...

Prevalence and determinants of hypertension among adults of reproductive age in Tanzania: analysis of a cross-sectional Demographic and Health Survey.

OBJECTIVE: We aimed to estimate prevalence and identify determinants of hypertension in adults aged ...

Prediction of Sepsis after Endourologic Kidney Stone Surgery: A Machine Learning Approach.

Sepsis secondary to urinary tract infection after kidney stone surgery is associated with considera...

Beyond macroscopic performance: nanoscale charge transfer dynamics in energy storage/conversion devices scanning electrochemical cell microscopy.

The performance of electrochemical energy storage and conversion devices is fundamentally governed b...

Multitarget Generate Electrolyte Additive for Lithium Metal Batteries.

Electrolyte additives are crucial for accelerating the commercialization of lithium metal batteries ...

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