National Heart Centre Singapore

The global cardiovascular-kidney-liver-metabolic burden from 1990 to 2023

Background The cardiovascular-kidney-liver-metabolic (CKLM) framework represents the multi-organ interplay of systemic metabolic disorders that drive the global burden of cardiovascular diseases (CVD). Methods This study is a descriptive epidemiological analysis of the Global Bur...

Challenges in deep learning-based small organ segmentation: A benchmarking perspective for medical research with limited datasets

Accurate segmentation of carotid artery structures in histopathological images is vital for cardiovascular disease research. This study systematically evaluates ten deep learning segmentation models including classical architectures, modern CNNs, a Vision Transformer, and foundat...

Age-Associated Patterns of Cardiovascular Risk and Disease Phenotypes Across Diverse Care Settings: The GLOB-cAGE Consortium

Reported prevalence of cardiovascular disease (CVD) risk factors and phenotypes varies widely. In multi-cohort analyses, such variation reflects population risk, care setting, and data capture. We harmonized baseline data from four analytic cohorts (N=54,188, aged ≥50 years) in f...