Nephrology

Identification and Validation of miR-206-3p Targeting WT-1 Promotes Membranous Nephropathy Through a Comprehensive Bioinformatics and Machine Learning Algorithm.

Membranous nephropathy (MN), a major cause of end-stage renal disease, has limited therapeutics due ...

BD-KDD: A real-world clinical dataset for kidney disease diagnosis and healthy classification.

Kidney disease is a major global health concern that requires timely diagnosis and effective monitor...

Using machine learning algorithms to predict MACE in peritoneal dialysis patients.

The study aimed to predict the risks of Major adverse cardiac events (MACE) in patients undergoing p...

Association between triglyceride-glucose index and related indicators with heart failure-related mortality in individuals with early-stage cardiovascular-kidney-metabolic syndrome.

BACKGROUND: Insulin resistance is a central pathophysiological feature of cardiovascular-kidney-meta...

Trends and disparities in female authorship in surgical publications: A large-scale bibliometric study using natural language processing.

BACKGROUND: Gender disparities in academic surgery persist, particularly in authorship positions tha...

ACOT8-mediated palmitate accumulation promotes M1 macrophage polarization in renal ischemia-reperfusion injury via activation of the cGAS-STING pathway.

Renal ischemia-reperfusion injury (IRI) is a major cause of acute kidney injury, involving complex m...

Personalized mapping of body homeostasis using whole-body PET connectomics and routine FDG PET imaging.

BACKGROUND: Immuno-inflammation and systemic alterations are key features of chronic diseases. While...

Incremental Prognostic Value of Pericardial Adipose Tissue Radiomic Phenotype Based on Cardiac MRI in Patients With End-Stage Renal Disease.

BACKGROUND: While pericardial adipose tissue (PEAT) volume is linked to cardiac risk, the prognostic...

Prediction of acute kidney injury in patients with acute pesticide poisoning using the PKIP score.

Acute pesticide poisoning frequently leads to acute kidney injury (AKI), which is strongly associate...

Development of a high-altitude renal disease diagnostic model based on machine learning and multiple biomarker detection: a retrospective study of 19,068 patients.

BACKGROUND AND AIMS: Early detection of chronic kidney disease (CKD) in high-altitude regions remain...

Digitally Assessed Nucleolar Size Compared to Traditional Pathologist WHO Grade Allocation in Clear Cell Renal Cell Carcinoma.

Traditional WHO grading for renal cell carcinoma (RCC), largely based on nucleolar prominence, has w...

Artificial Intelligence in Cardiovascular Medicine: Focus on Hypertension.

Hypertension remains the most prevalent modifiable risk factor for cardiovascular morbidity and mort...

Cardiovascular outcomes and subclinical atherosclerosis in metabolic-associated steatotic liver disease: long-term follow-up from a specialized outpatient cohort.

BACKGROUND AND AIMS: Cardiovascular disease is the main cause of mortality in metabolic-associated s...

Machine-learning approach on echocardiography to improve the detection of transthyretin amyloid cardiomyopathy: GRAAL algorithm.

AIMS: Transthyretin amyloid cardiomyopathy (ATTR-CM) is an increasingly recognized cause of heart fa...

Clinical prediction of the mortality for acute kidney injury in decompensated cirrhosis.

Acute kidney injury (AKI) is a severe complication in patients with decompensated cirrhosis, associa...

Explainable machine learning for long-term cardiovascular disease risk prediction in Chinese middle-aged and older adults: a 9-year longitudinal cohort study with web-based risk calculator.

Cardiovascular disease represents the leading cause of mortality in China, accounting for over 40% o...

In-silico study of machine learning discovers de novo lipogenesis for predicting prognosis and immunotherapy responses in kidney renal clear cell carcinoma.

Prediction of graft outcomes after kidney transplantation: When standard statistics compare to machine learning techniques.

BACKGROUND: Over the last decade, the use of machine learning (ML) techniques in problem modeling an...

Diet-microbiota-kidney axis reprogramming: mechanistic insights into microbial metabolite-driven precision nutrition for chronic kidney disease.

Medical nutrition therapy serves as the cornerstone in the management of chronic kidney disease (CKD...

Metagenomic profiling and predictive modeling of the gut microbiome reveal signatures of gestational disease.

The gut microbiome plays a vital role in maternal health and pregnancy outcomes, yet its impact on c...

Personalized prediction of initial valproic acid dose in children with epilepsy using machine learning techniques.

INTRODUCTION: Valproic acid (VPA) is widely prescribed antiepileptic drug in children because of its...