Dyslipidemia

A leakage-controlled machine learning framework for postprandial triglyceride phenotyping using synthetic clinical data.

BACKGROUND: Whole blood viscosity (WBV) has been linked to cardiometabolic risk, yet its relationship with short-term postprandial triglyceride (TG) response remains unclear. We evaluated this question within a fully de-identified, statistically reconstructed synthetic cohort ([Formula: see text]), with a primary methodological objective: to demonstrate a rigorously leakage-controlled machine-lear...

Prevalent vertebral fracture (PVFx) and abdominal aortic calcification (AAC) independently predict incident atherosclerotic cardiovascular disease (ASCVD) events in older men.

PURPOSE: To estimate the associations of prevalent vertebral fracture (PVFx) and abdominal aortic calcification (AAC) with incident ASCVD (myocardial infarction, fatal or non-fatal cerebrovascular accident, or coronary heart disease death). METHODS: 2799 older men (mean [SD] age 76.3 [5.5] years) enrolled in the MrOS sleep ancillary study had PVFx (SQ grade 2 or 3) assessed by human reader and AAC...

Identification and Validation of Transcriptomic Signatures in Inflammatory Bowel Disease with Metabolic Syndrome via Bioinformatics and Machine Learning.

BACKGROUND: Inflammatory bowel disease (IBD) is a chronic, nonspecific inflammatory disorder affecting the gastrointestinal tract. The condition's pat...

Explainable machine learning integrating metabolic and inflammatory signatures for personalized prognosis in resected intrahepatic cholangiocarcinoma.

BACKGROUND: The precise prognostic stratification of intrahepatic cholangiocarcinoma (iCCA) remains challenging. We aimed to develop and validate inte...

Artificial Intelligence-Empowered Image Fusion of Coronary Computed Tomography Angiography and Invasive Angiography for Guiding Chronic Total Occlusion Percutaneous Coronary Intervention.

Coronary computed tomography angiography (CCTA) provides qualitative and quantitative characteristics of atherosclerotic plaques, quantified percentag...

[Annual advances in clinical applications of pulmonary function testing 2025].

This review systematically synthesizes and critically appraises domestic and international advances in pulmonary function tests (PFT) research and cli...

Machine learning integrated clinical-proteomics data identifies a 6-protein panel signature for atherosclerotic severity and enhanced patient stratification.

Atherosclerosis, a major cause of adverse cardiovascular events and mortality rates worldwide, stems from sustained lipid accumulation and subsequent ...

Enhancing Community-Based Nursing Decision Support: Machine Learning Models for Diabetes Risk Prediction Using Home Health Nursing Notes.

OBJECTIVES: This study aimed to identify high-risk factors for type 2 diabetes and develop a machine learning (ML)-based diabetes prediction model usi...

Vessel Wall Imaging at 7T: State of the Art.

Intracranial vessel wall imaging (VWI) has emerged as a critical tool in neurovascular diagnostics, enabling direct assessment of the vessel wall, whi...

Targeting cholesterol metabolism: a core regulator of tumor-associated macrophage plasticity and immunotherapy response.

Tumor-associated macrophages (TAMs) are one of the main immunosuppressive components in the tumor microenvironment (TME). Growing evidence indicates t...

AI-Derived LA Volume Index, LA/RA and LA/LV Volume Ratios From Coronary Artery Calcium Scans Predict Long-Term Atrial Fibrillation and Stroke.

BACKGROUND: The AI-CVD initiative aims to extract actionable insights from coronary artery calcium (CAC) scans beyond the traditional CAC score. Altho...

Association Between Breast Arterial Calcifications and Increased Cardiovascular Risk: A Canadian Perspective on Clinical Implications and the Potential Role in Preventive Care.

Breast arterial calcifications (BAC) are associated with increased cardiovascular risk and have been correlated with other methods of cardiovascular r...

Elucidating the role of SF3B3 in coronary atherosclerosis: integrating bioinformatics and machine learning for advanced insights.

Carotid Imaging: Current Concepts and Advanced Imaging.

Carotid atherosclerosis is a major cause of ischemic stroke, historically managed according to luminal stenosis severity. However, stenosis alone fail...

Quantitative Coronary Atherosclerotic Plaque Burden From CCTA and the Benefit From Lipid-Lowering Medication.

BACKGROUND: We hypothesized that quantification of coronary atherosclerotic plaque burden by artificial intelligence-guided quantitative computed tomo...

Physics-informed graph neural networks for real-time prediction of wall shear stress in stenotic coronary arteries.

Wall shear stress (WSS) is a key hemodynamic parameter associated with atherosclerotic plaque development in coronary arteries. In this study, we deve...

The prognostic significance of cholesterol, high-density lipoprotein and glucose (CHG) index in evaluating all-cause mortality risk in metabolic dysfunction-associated steatotic liver disease (MASLD) individuals: evidence from two cohort studies.

An explainable online frailty prediction model for community-dwelling older adults based on machine learning algorithms: a cross-sectional study based on retrospective health data.

BACKGROUND: Frailty is a significant health concern associated with diminished physiological reserves and increased healthcare burdens. Currently, eff...

EHR-derived cognitive load is associated with guideline-concordant statin initiation in primary care.

INTRODUCTION: Linking electronic health record (EHR) use to care quality may offer insights into potential interventions improving guideline adherence...

Exploratory prediction model for deep vein thrombosis in intensive care patients after anticoagulation therapy: An observational study.

BACKGROUND: Despite low-molecular-weight heparin (LMWH) prophylaxis, the incidence of deep vein thrombosis (DVT) remains high in intensive care unit (...