Dyslipidemia

Predicting carotid atherosclerosis in latent autoimmune diabetes in adult patients using machine learning models: a retrospective study.

BACKGROUND: Latent autoimmune diabetes in adults (LADA) is a slowly progressing form of diabetes wit...

From lipids and inflammation to artificial intelligence-driven therapeutics: the 93rd European atherosclerosis society (EAS) congress 2025 in focus.

Gene therapy and genome editing for lipoprotein disorders.

Genetic factors play a critical role in the development of lipoprotein disorders, which significantl...

A machine learning-based framework for predicting metabolic syndrome using serum liver function tests and high-sensitivity C-reactive protein.

Metabolic Syndrome (MetS) comprises a clustering of conditions that significantly increase the risk ...

Screening biomarkers related to cholesterol metabolism in osteoarthritis based on transcriptomics.

Cholesterol metabolism-related genes (CMRGs) have been associated with osteoarthritis (OA), but thei...

Identification of pyroptosis related genes and subtypes in atherosclerosis using multiomic and single cell analysis.

Atherosclerosis (AS), the leading cause of cardiovascular diseases, is a chronic inflammatory disord...

Artificial intelligence in coronary CT angiography: transforming the diagnosis and risk stratification of atherosclerosis.

Coronary CT Angiography (CCTA) is essential for assessing atherosclerosis and coronary artery diseas...

A hybrid approach to heart disease prediction using a fractional-order mathematical model and machine learning algorithm.

Heart disease remains one of the leading causes of morbidity and mortality worldwide, necessitating ...

Lipidomic profiling of human adiposomes identifies specific lipid shifts linked to obesity and cardiometabolic risk.

BACKGROUNDObesity, a growing health concern, often leads to metabolic disturbances, systemic inflamm...

Delving into Generalizable Label Distribution Learning.

Owing to the excellent capability in dealing with label ambiguity, Label Distribution Learning (LDL)...

Can we identify individuals at risk to develop multiple myeloma? A machine learning-based predictive model.

Multiple myeloma evolves unnoticed over years, and when diagnosed, organ damage is common. Electroni...

Coarse Grain Preference, Gut Microbiota Features, in Relation to Hypertriglyceridemia in Constipation Patients: A Cross-Sectional Study.

Coarse grain (CG) benefits blood lipids involving gut microbiota regulations. Little is known about ...

Association Between Automated Coronary Artery Calcium From Routine Chest Computed Tomography Scans and Cardiovascular Risk in Patients With Colorectal or Gastric Cancer.

BACKGROUND: As cardiovascular disease (CVD) is the leading cause of noncancer mortality in colorecta...

The utility of an artificial intelligence model based on decision tree and evolution algorithm to evaluate steatotic liver disease in a primary care setting.

Many ways of classifying steatotic liver disease (SLD) with metabolic conditions have been proposed....

Long-term prognostic value of the CT-derived fractional flow reserve combined with atherosclerotic burden in patients with non-obstructive coronary artery disease.

OBJECTIVES: The long-term prognostic significance of the coronary computed tomography angiography (C...

Type 2 Diabetes Mellitus Remission, Dream or Reality? A Narrative Review of Current Evidence and Integrated Care Strategies.

Type 2 diabetes mellitus (T2DM) is a global health priority, with an estimated 629 million people pr...

Identification of lipid metabolism-associated biomarkers in lupus nephritis by SVM model and therapeutic potential of Alisol B 23-acetate.

Systemic lupus erythematosus (SLE), a multifaceted autoimmune disorder, has lupus nephritis (LN) as ...

Chatbot for the Return of Positive Genetic Screening Results for Hereditary Cancer Syndromes: Prompt Engineering Project.

The increasing demand for population-wide genomic screening and the limited availability of genetic ...

Leveraging pulse wave signal properties for coronary artery calcification screening in CKD patients.

BACKGROUND AND AIMS: Chronic kidney disease (CKD) patients are particularly susceptible to coronary ...

Relationship between amino acid metabolism and inflammation in coronary heart disease (Review).

This review delves into the intricate relationship between amino acid metabolism and inflammation in...

A hybrid GAN-based deep learning framework for thermogram-based breast cancer detection.

Breast cancer remains one of the most prevalent and life-threatening diseases among women worldwide,...