Background Severe aortic stenosis (AS) is commonly associated with advanced cardiac damage, including right ventricular dysfunction (RVD), pulmonary hypertension (PH) and tricuspid regurgitation (TR), ...
A comprehensive new systematic review published in The Journal of Nutrition provides the latest evidence that large-scale food fortification is a highly cost-effective intervention for reducing global ...
A comprehensive new systematic review published in The Journal of Nutrition provides the latest evidence that large-scale food fortification is a highly cost-effective intervention for reducing global ...
Introduction Heart diseases constitute a significant global public health concern. Cardiovascular diseases (CVDs) are characterised by disruptions in blood circulation and are notably prevalent among ...
Abstract: Few-shot image classification (FSIC) is a critical task in computer vision that aims to accurately classify new categories with only a limited number of labeled examples. This capability is ...
Nosocomial infections (NIs) pose a substantial global health challenge, affecting an estimated 7%–10% of hospitalized patients worldwide. Neonatal intensive care units (NICUs) are particularly ...
Background At least 60% of stroke, 40% of dementia and 35% of late-life depression (LLD) are attributable to modifiable risk factors, with great overlap due to shared pathophysiology. This study aims ...
6 Key Laboratory of Research on Clinical Molecular Diagnosis for High Incidence Diseases in Western Guangxi, Guangxi, Guangxi, People's Republic of China Background Gastrointestinal cancers comprise ...
Epidemiology and outcomes of sepsis in patients hospitalized with esophageal cancer: A nationwide analysis. STAR-01: A randomized phase III clinical trial comparing PD-1 combined with apatinib and SOX ...
Copyright: © 2025 The Author. Published by Elsevier Ltd. Using well established Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) methodology, we ...
Node classification is a fundamental task in graph analysis, with broad applications across various fields. Recent breakthroughs in Large Language Models (LLMs) have enabled LLM-based approaches for ...
We performed single-cell RNA sequencing analysis on LGG samples (n = 4) to characterize histone modification patterns. Through integrative analysis of TCGA-LGG (n = 513) and CGGA datasets (n = 693 and ...