Nephrology

Cluster-defined gout subtypes exhibit divergent chronic kidney disease trajectories: a machine learning approach in a Chinese prospective cohort.

OBJECTIVE: To systematically evaluate the contribution of clinical heterogeneity to chronic kidney d...

Prediction model for frailty risk in ischemic stroke patients: Application and validation of support vector machines and nomograms.

This study aimed to develop a prediction model based on nomograms and support vector machines (SVM) ...

Machine learning-assisted discovery of outside-in structure Ni-rich cathode with high performance.

Ni-rich oxides have emerged as leading cathode candidates for lithium-ion batteries because of high ...

Integrated bioinformatics reveals tubulointerstitial immune microenvironment signatures and machine learning-driven prognostication of clinical treatment response in lupus nephritis.

Lupus nephritis (LN) represents the most severe renal manifestation of systemic lupus erythematosus ...

Clinical and immunological significance of FOXO1 as a biomarker of improved response to immune checkpoint plus tyrosine kinase inhibitor therapy in metastatic renal cell carcinoma.

BACKGROUND: Predicting response to immune checkpoint inhibitor plus tyrosine kinase inhibitor (IO+TK...

Potential of large language models for rapid clinical information support: evidence from acute kidney injury knowledge testing.

Large language models (LLMs) are increasingly applied in clinical contexts; however, to our knowledg...

Interpretable deep learning with pharmacogenomics predicts myocardial infarction in angiotensin receptor blocker treated hypertension.

OBJECTIVE: A significant residual risk of myocardial infarction (MI) persists in hypertensive patien...

Parsimonious and explainable biomarker-based severity score for hospitalised patients with COVID-19-related respiratory infections: development, validation and XAI benchmarking.

BACKGROUND: Severity scoring systems are increasingly important tools for stratifying hospitalised p...

Understanding Fabrication Variability in Core-Shell Soft Biomaterials Using Stochastic Artificial Intelligence.

Approaches for the fabrication of biomaterials are currently numerous, with a wide diversity of avai...

Serum Uric Acid-to-Creatinine Ratio and Atherogenic Index of Plasma as Independent Prognostic Indicators for Late Non-Valvular Atrial Fibrillation Recurrence After Catheter Ablation.

BACKGROUND: Atrial fibrillation (AF) is one of the most common clinical arrhythmias, and postoperati...

Rapid screening of potent and mechanistically insightful repurposable anticancer drugs targeting EGFR for non-small cell lung cancer: machine learning-aided and structure-guided approach.

Despite the initial success of EGFR-targeted therapies in non-small cell lung cancer (NSCLC), the em...

Echocardiographic Evaluation of Global Cardiac Function in Systemic Sclerosis-Associated Pulmonary Arterial Hypertension: An Integrated Review of Parameters and Techniques.

Systemic sclerosis (SSc) is a connective tissue disease frequently complicated by pulmonary arterial...

Deep learning framework for predicting EGFR mutation status from H&E whole slide images in lung adenocarcinoma.

Deep-Learning Algorithm Diagnostic Support for Usual Interstitial Pneumonia Pattern Recognition in Fibrotic Interstitial Lung Disease.

BACKGROUND AND OBJECTIVE: High resolution computed tomography (HRCT) scan diagnostic classification ...

Optimization Design and Bending Hysteresis Compensation of a Flexible Ureteroscopy Robot.

BACKGROUND: Ureteroscopic lithotripsy is a minimally invasive surgical procedure used to treat kidne...

Models Integrating Disease Heterogeneity and MPA Exposure Predict Systemic and Renal Efficacy of Mycophenolate in Pediatric Lupus Nephritis.

OBJECTIVES: This study aimed to develop and validate integrated prediction models for pediatric lupu...

CT data harmonization via learned virtual monoenergetic imaging for cross-kV scan translation and radiomics reproducibility.

BACKGROUND: Radiomics extracts quantitative imaging features from computed tomography (CT) data for ...

Dynamic machine learning prediction of persistent AKI after cardiac surgery with modifiable perioperative risk factors.

Early identification and prevention of persistent acute kidney injury (pAKI) remain challenging due ...

Pre-heart failure in early chronic kidney disease: clinical epidemiology and treatment.

Chronic kidney disease (CKD), defined per the Kidney Disease: Improving Global Outcomes (KDIGO) guid...

KidMesh: Computational Mesh Reconstruction for Pediatric Congenital Hydronephrosis Using Deep Neural Networks.

Pediatric congenital hydronephrosis (CH) is a common urinary tract disorder, primarily caused by obs...

Identification of a personalized eGFR threshold improves the prediction of kidney failure risk after transplantation.

BACKGROUND: Many factors cause kidney transplant graft failure. To identify at-risk patients and tai...