Nephrology

TyG-ABSI and TyG-WWI as insulin-resistance body shape markers of mortality in middle-aged and older adults within the cardiovascular-kidney-metabolic framework: A multi-cohort observational study with external survival-model validation.

Insulin resistance, adiposity, kidney dysfunction, and cardiovascular disease are closely interconne...

A bibliometric analysis of polymyxin-induced nephrotoxicity research: Trends and insights (2005-2024).

BACKGROUND: Polymyxins remain important therapeutic options for the treatment of multidrug-resistant...

H-HQNN: Hybrid quantum-classical neural network with feature selection by heuristics to predict heart failure.

Cardiovascular diseases are the most dominant cause of mortality across the entire world, claiming 1...

Association of the triglyceride-to-high-density lipoprotein cholesterol ratio with kidney stone status: cross-sectional and machine-learning analyses.

This study investigated the association between triglyceride-to-high-density lipoprotein cholesterol...

Clinical characteristics and risk factors for intensive care unit admission and mortality in rapid response team-activated ward patients: a retrospective cohort study at a tertiary hospital in South Korea.

BACKGROUND: Factors driving intensive care unit (ICU) transfer decisions and mortality after rapid r...

fiLiver and spleen elastography-based prediction models for clinically significant portal hypertension and high-risk esophageal varices: a systematic review of conventional and machine-learning approaches.

The presence of clinically significant portal hypertension (CSPH) and high-risk esophageal varices (...

A Machine Learning Framework for Predicting Functional Status and Estimating Health Care Costs in Pulmonary Arterial Hypertension: Retrospective Cohort Study.

BACKGROUND: Pulmonary arterial hypertension (PAH) is a rare and progressive disease associated with ...

Retraction notice to "An optimized machine learning model for predicting hospitalization for COVID-19 infection in the maintenance dialysis population" [Computers in Biology and Medicine 165 (2023) 107410].

Proprietary platform artificial intelligence-based segmentation of surgical videos facilitates review and rating of operative recordings.

BACKGROUND: Implementation of artificial intelligence (AI) in surgery may revolutionize assessment o...

Estimation of glomerular filtration rate by standard renal CT imaging.

OBJECTIVES: To develop and evaluate a method to predict glomerular filtration rate (GFR) from clinic...

Hyperuricaemia risk and its association with kidney failure and mortality in newly diagnosed type 2 diabetes with preserved renal function: a multicentre machine learning study.

A machine learning framework for precision dosing of daptomycin across diverse disease states.

The large pharmacokinetic variability of daptomycin across disease states poses a challenge for indi...

A dataset of differentiable biologically derived single-neuron models.

Biological neural networks contain diverse cell types with heterogeneous electrophysiological proper...

Hypertensive disorders of pregnancy: epidemiology, pathophysiology, therapeutic strategies, and maternal-offspring outcomes.

Hypertensive disorders of pregnancy (HDP) encompass chronic hypertension, gestational hypertension, ...

Validation of the Klinrisk CKD Progression Model in the Dapagliflozin and Prevention of Adverse Outcomes in CKD (DAPA-CKD) Population.

BACKGROUND: Early identification and treatment of high-risk CKD can lower the risk of kidney failure...

Enhanced Early Risk Stratification in Cardiogenic Shock Using Machine Learning: A Hierarchical Clustering Analysis.

BACKGROUND: Cardiogenic shock (CS) exhibits marked clinical heterogeneity, limiting the performance ...

Seizures as a marker of severe multi-organ involvement in neuropsychiatric systemic lupus erythematosus: a diagnostic risk stratification study.

OBJECTIVE: This study aimed to identify independent predictors of seizure occurrence in patients wit...

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models.

Solid electrolytes (SEs) are central to next-generation metal batteries, yet their discovery remains...

Deconstructing the Modified Sequential Organ Failure Assessment (mSOFA) Score: A Decision Tree Analysis Reveals the Pathophysiological Hierarchy of Organ Dysfunction Predictors in Prehospital Critical Care.

BACKGROUND: Early recognition of multiple organ dysfunction syndrome (MODS) in the prehospital setti...

Unveiling Hidden Patterns in Electrode-Electrolyte Interphase Chemistry and Architecture Through Machine Learning-Assisted Mass Spectrometry Analysis.

Electrode-electrolyte interphases (EEIs) govern battery performance, yet the interplay between their...

Construction and validation of an identification model for frailty in maintenance hemodialysis patients using multiple machine learning algorithms: a cross-sectional study of retrospectively collected data.

BACKGROUND: Frailty adversely affects survival and quality of life in patients undergoing maintenanc...