Nephrology

Machine Learning-Enhanced High-Temperature CO2 Sensor for In Situ Exhaust Monitoring: Robust Compensation via Real-Time Vehicle Operating Parameters.

High-temperature CO2 detection in automotive exhaust remains a formidable challenge due to the harsh...

Predictor Of Mortality In Obstructive Sleep Apnoea: Results of Explainable Deep Learning based Survival Analysis From a 15-Year Follow-Up.

INTRODUCTION: Obstructive sleep apnoea (OSA) is a respiratory disorder with comorbidities of several...

Myocardial Native T1 Mapping in the German National Cohort (NAKO): Associations with Age, Sex, and Cardiometabolic Risk Factors.

BACKGROUND: In cardiovascular magnetic resonance (CMR), myocardial native T1 mapping enables quantit...

Integrated machine learning for cause-of-death classification and postmortem interval prediction: Liver and kidney metabolomics from seawater-immersed rat cadavers.

PURPOSE: To assess whether liver and kidney metabolomics combined with machine learning can distingu...

Incorporating Pathomics Into IgAN Risk Prediction.

INTRODUCTION: IgA nephropathy (IgAN) is the most common glomerulonephritis worldwide, with heterogen...

Hypertension-associated DNA methylation signatures and multi-generational epigenetic clocks in Korean adults.

Hypertension is a hallmark of vascular aging; however, the epigenetic link between biological aging ...

Recent advances in understanding surface reconstruction for oxygen evolution reaction electrocatalysts: insights from density functional theory.

Surface reconstruction has emerged as a defining feature of oxygen evolution reaction (OER) electroc...

Chemical-Sensing Catheters for Long-Term and Personalized Therapeutic Management.

Long-term intravenous catheterization is vital for delivering chemotherapy to cancer patients and pa...

Utilizing machine learning to identify multimodal signatures for patients who would benefit from the addition of tremelimumab to durvalumab and chemotherapy (TRIDENT).

PURPOSE: POSEIDON (NCT03164616) was a randomized, open-label, multicenter phase 3 trial comparing fi...

Cardiorenal Syndrome: Pathophysiological Crosstalk Between Heart and Kidney.

Cardiorenal syndrome (CRS) describes the bidirectional deterioration of cardiac and renal function, ...

Retraction notice to "Molecular structure of NRG-1 protein and its impact on adult hypertension and heart failure: A new clinical Indicator diagnosis based on advanced machine learning" [Int. J. Biol. Macromol. 304 (2025) 140955].

Data-Driven Knowledge Discovery Reveals Quantitative Electrolyte Design Rules for Anode-Free Sodium Metal Batteries.

Sodium-based batteries are promising for large-scale energy storage due to the abundance and low cos...

Machine learning-based analysis of risk factors and construction of a predictive model for hyperuricemia in Chinese health examination population.

Hyperuricemia (HUA) imposes a growing public health burden, calling for better risk stratification t...

Interpretable Machine Learning Model for Predicting Sepsis and Septic Shock Among Patients with Documented Fever at Emergency Department Triage Using Patients' Historical Data.

This study aimed to develop an interpretable machine learning-based scoring system for predicting se...

Non-invasive diagnostic evaluation of urinary exosomal let-7c cluster expression in bladder cancer using machine learning approaches.

BACKGROUND: Bladder cancer (BCa) diagnosis typically relies on invasive cystoscopy, which is effecti...

Atrial Fibrillation in Patients With Myocardial Infarction: Global Burden, Predictors, and Prognostic Impact.

Atrial fibrillation (AF) is the most prevalent sustained arrhythmia worldwide. Acute myocardial infa...

Ion-Modulated Ostwald Ripening Dynamics of Nitrogen Nanobubble Pairs.

Understanding the stability of bulk nanobubbles, especially how electrolyte ions influence their coa...

Novel opportunistic imaging biomarkers with AI-assisted sarcopenia assessment associated with survival after liver transplantation for hepatocellular carcinoma.

INTRODUCTION: The scarcity of donor organs necessitates the development of refined prognostic tools ...

Advanced prediction of cardiovascular-kidney-metabolic syndrome using eight machine learning models and 24 composite indices.

AIM: This study aimed to construct and validate a machine learning classifier for cross-sectionally ...

Multiomics integrative bioinformatics analysis of gene expression characteristics and molecular mechanisms in preeclampsia placental tissue.

Preeclampsia (PE) is a severe pregnancy-specific complication characterized by new-onset hypertensio...

Diagnostic potential of B-cell translocation gene 2 in IgA nephropathy: Insights from molecular mechanisms.

IgA nephropathy (IgAN) is a prevalent glomerular disease characterized by IgA deposition, chronic in...