Latest AI and machine learning research in dyslipidemia for healthcare professionals.
Acute myocardial infarction (AMI) is a leading cause of global morbidity and mortality, requiring de...
Diabetes Mellitus is a chronic metabolic disorder affecting a substantial global population leading ...
Machine learning is increasingly used to predict lifestyle-related disease onset using health and me...
BACKGROUND: Familial hypercholesterolemia (FH) is a genetic condition which elevates cholesterol lev...
BACKGROUND: The Stress Hyperglycemia Ratio (SHR) reflects stress-related hyperglycemia and is linked...
PURPOSE: To evaluate the impact of statin therapy on warfarin dose requirements in diabetic patients...
Cardiovascular diseases such as coronary artery disease, myocardial infarction, and heart failure im...
AIMS: This study investigates the role of macrophage histone lactylation-a protein modification-in a...
OBJECTIVE: Despite the established association between chronic obstructive pulmonary disease (COPD) ...
Our study aims to improve the prediction performance of machine learning (ML) models by addressing f...
Aging processes underlie common chronic cardiometabolic diseases such as heart failure and diabetes....
Alzheimer's disease (AD) and atherosclerosis (AS) are two interacting diseases mostly affecting aged...
BACKGROUND AND HYPOTHESIS: The multifactorial pathogenesis of schizophrenia (SZ) hinders the diagnos...
BACKGROUND AND OBJECTIVE: Atherogenicity indices have emerged as promising markers for cardiometabol...
OBJECTIVE: The purpose of this study was to use machine learning models to predict the risk of hyper...
Age-related macular degeneration (AMD) is a multifactorial retinal disease influenced by complex mol...
Cardiovascular imaging saw significant advancements in 2024, impacting technology, pathophysiology, ...
Single-cell RNA sequencing has demonstrated that the presence of parenchymal amyloid plaques and int...
BACKGROUND: Lifestyle factors toward diet and physical activity (PA) may directly influence the path...
To develop and validate an explainable machine learning (ML) tool to help clinicians predict the ris...
BACKGROUND: Our research team previously found that fibroblast growth factor (FGF) 21, a circulating...