Nephrology

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

3,910 articles
Stay Ahead - Weekly Nephrology research updates
Subscribe
Browse Specialties
Showing 64-84 of 3,910 articles
Machine learning for the prediction of augmented renal clearance (ARC) in patients with sepsis in critical care units.

This study aims to establish and validate prediction models based on novel machine learning (ML) alg...

Electrocardiographic sex index: a continuous representation of sex.

Clinical risk calculators consider sex as a binary variable. However, sex is a complex trait with an...

Hybrid classical and quantum computing for enhanced glioma tumor classification using TCGA data.

Gliomas are the most prevalent malignant primary brain tumors and present diagnostic challenges due ...

Use of hybrid quantum-classical algorithms for enhancing biomarker classification.

Quantum machine learning (QML) combines quantum computing with machine learning, offering potential ...

Driven early detection of chronic kidney cancer disease based on machine learning technique.

In recent times, chronic kidney cancer has been considered a significant cause of cancer, and Renal ...

Multimodal deep learning improving the accuracy of pathological diagnoses for membranous nephropathy.

OBJECTIVES: Renal biopsy is the gold standard for the diagnosis of glomerular diseases including mem...

Mimicking the Peptidyl Enzyme Enables Polysulfide Electronic Axial Stretching Catalysis for Lean-Electrolyte Lithium-Sulfur Batteries.

Catalysts are effective in mitigating slow sulfur redox reaction (SRR) kinetics in lithium-sulfur (L...

Classification of Renal Lesions by Leveraging Hybrid Features from CT Images Using Machine Learning Techniques.

Renal cancer is amid the several reasons of increasing mortality rates globally, which can be reduce...

Reshaping transplantation with AI, emerging technologies and xenotransplantation.

Organ transplantation remains the sole definitive treatment for many forms of end-stage organ failur...

ML enhanced bioactivity prediction for angiotensin II receptor: A potential anti-hypertensive drug target.

The process of drug discovery is intricate, and encompasses a series of detailed phases of research,...

Solvent Replacement-Driven Ionic Liquid Thermoelectric Gel for Self-Powered Morse Code Communication Assisted by Machine Learning.

The development of ionic liquid gels (IL gels) with both high thermoelectric performance and mechani...

Predictors of frontline doublet or triplet regimen initiation in transplant-ineligible newly diagnosed multiple myeloma.

AIMS: To identify predictors for initiation of frontline doublet versus triplet therapy for transpla...

Prediction of gastrointestinal hemorrhage in cardiology inpatients using an interpretable XGBoost model.

Gastrointestinal bleeding (GIB) occurs more frequently in cardiovascular patients than in the genera...

Machine learning-based prediction of stone-free rate after retrograde intrarenal surgery for lower pole renal stones.

BACKGROUND: Lower pole renal stones (LPS) present unique challenges for retrograde intrarenal surger...

Assessment and management of portal hypertension in patients with MASLD: advances and caveats.

INTRODUCTION: Metabolic dysfunction-associated steatotic liver disease (MASLD) is increasingly gaini...

Identification and validation of epithelial‑mesenchymal transition‑related genes for diabetic nephropathy by WGCNA and machine learning.

Diabetic nephropathy (DN) is the main cause of end‑stage renal disease, with epithelial‑mesenchymal ...

Hyperspectral Imaging Accurately Detects Renal Malperfusion Due to High Intrarenal Pressure.

BACKGROUND AND OBJECTIVE: High intrarenal pressure (IRP) is a significant concern in both endoscopic...

Picoeukaryote-based biohybrid microrobots for active delivery in the kidney.

Confined spaces in the human body pose substantial challenges for biomedical procedures. Navigating ...

Development and validation of personalized risk prediction models for patients with IgA nephropathy: a nationwide multicenter cohort study.

BACKGROUND: Effective prediction of immunoglobulin A nephropathy (IgAN) progression is crucial for e...

Browse Specialties