Nephrology

Comprehensive review of chronic kidney disease molecular biomarkers: Clinical significance, human health impact, and emerging diagnostic strategies.

Chronic Kidney Disease (CKD) is a global public health crisis, affecting over 800 million people worldwide. Driven primarily by diabetes and hypertension, it causes substantial morbidity and premature mortality while placing massive economic and environmental demands on global healthcare systems. CKD often gets diagnosed at later stages due to inadequate sensitivity of current CKD biomarkers, such...

Stabilizing Anion-Derived Interphase by Machine-Learning-Accelerated Screening of Out-of-Shell Co-Solvents for Aqueous Zinc Batteries.

Aqueous zinc batteries (AZBs) lack a stable anion-derived solid electrolyte interphase (SEI) on the Zn anode, resulting in severe competition between Zn deposition and the hydrogen evolution reaction (HER). A conventional in-shell co-solvent coordinates strongly with Zn2+, displacing coordinated water and weakening Zn2+-anion interactions. This introduces a critical trade-off between HER suppressi...

Enhancer Collapse Dictates PKHD1 Silencing and Centrosome-Mediated Chromosomal Instability and Metastasis in Clear Cell Renal Cell Carcinoma.

Chromosomal instability (CIN) drives clear cell renal cell carcinoma (ccRCC) progression, yet its upstream triggers remain elusive. To identify key dr...

Frailty prediction in heart failure patients with acute infections: the potential role of thiazide diuretics?

BACKGROUND: Frailty remains a significant risk factor for adverse health outcomes in hospitalized patients. Few have evaluated frailty risk and its in...

A Three-Slice Deep Learning-Radiomics Nomogram for Challenging Renal Mass Cases: A Double-Center Study.

To determine the optimal spatial-depth architecture for deep learning-radiomics (DLR) differentiation of fat-poor angiomyolipoma (fp-AML) from clear c...

The nephrologist in the present and near future: between algorithms and autonomy.

This perspective examines how artificial intelligence (AI) may reshape nephrology over the next two decades while keeping the nephrologist's role cent...

The Pediatric Pulmonary Hypertension International Risk Score: A Prediction Model for Outcomes Using Machine Learning.

BACKGROUND: Risk prediction is fundamental to pulmonary hypertension (PH) guideline-based care, yet pediatric-specific risk prediction models remain l...

Perspective: The Future of Peritoneal Dialysis in the Era of Telemedicine and Artificial Intelligence.

Peritoneal dialysis (PD) represents one of the major modalities for home-based renal replacement therapy, offering autonomy and flexibility to patient...

A Bayesian Survival Model to Support the Selection of the Best Hematopoietic Stem Cell Donor.

The selection of a donor for allogeneic hematopoietic stem cell transplantation (HSCT) is a complex, multifactorial process requiring the balance of t...

Corrigendum to "Explainable electronic medical record-based machine learning to predict 1-year incident Protein-Energy wasting in non-dialysis chronic kidney disease: A single-center development study'' [Clin Nutr ESPEN 74 (2026) 103346].

Heterogeneous Treatment Effects of Renal Replacement Therapy in Critically Ill Patients: A Multicenter Observational Study Using a Japanese ICU Registry.

OBJECTIVE: Randomized trials evaluating the timing of renal replacement therapy (RRT) have informed current practice toward more conservative initiati...

Explainable Survival Modeling in Pediatric Hematopoietic Stem Cell Transplantation Using Landmark-Based Machine Learning.

BACKGROUND: Machine learning survival models can outperform conventional Cox regression in heterogeneous pediatric HSCT cohorts, but clinical adoption...

An Organ-Guided Lightweight Multi-frame Integration Network for Real-Time Abdominal Lesion Detection in Ultrasound Video Streams.

OBJECTIVE: Abdominal ultrasound is widely used for the routine screening of hepatobiliary and renal diseases because it is safe, inexpensive and broad...

Machine learning-assisted prediction of 5-year mortality in chronic kidney disease: the KoreaN cohort study for Outcome in patients With Chronic Kidney Disease (KNOW-CKD).

BACKGROUND: Mortality prediction models for patients with non-dialysis chronic kidney disease (CKD) remain limited despite their clinical importance. ...

A Cross-Sectional Analysis of Vascular Geometry in Adults: Associations of Age and Biological Sex with Iliofemoral Arterial and Venous Tortuosity.

Iliofemoral vascular tortuosity may reflect vascular aging, yet natural anatomic variation remains poorly characterized at scale. In this single-cente...

Risk analysis and warning model of post-noncardiac surgery acute kidney injury: A retrospective observational study.

Postoperative acute kidney injury (PO-AKI) following noncardiac surgery remains a major clinical challenge, for which effective early warning models a...

Left Atrial Myopathy Across the Spectrum of Pediatric Heart Disease: Imaging, Mechanobiology, and Clinical Consequences.

Left atrial (LA) function has emerged as a critical determinant of cardiovascular performance and disease progression across the spectrum of pediatric...

Development and Validation of an Interpretable Machine Learning Model for Staging Helicobacter pylori-Initiated Intestinal-Type Gastric Cancer in the Correa Cascade: Cross-Sectional Study.

BACKGROUND: Gastric cancer (GC) is one of the most common malignant tumors worldwide, with Helicobacter pylori-associated intestinal-type gastric canc...

Integrative multi-omics analysis identifies VCAN and ESM1 as candidate cell-type-associated biomarkers of NET-related glomerular injury in diabetic kidney disease.

Diabetic kidney disease (DKD) involves complex inflammatory and microvascular injury, but cell-specific molecular signatures linked to neutrophil extr...

Pharmacogenomic biomarkers in oncology: evidence, clinical utility, and barriers to implementation.

Interpatient variability in chemotherapy response and toxicity remains a major challenge in oncology. Pharmacogenomics (PGx) is an approach to address...