Atherosclerosis

Artificial intelligence models for osteoporosis risk prediction in postmenopausal women with CKD: A cross-sectional analysis of NHANES 2005 to 2018.

Artificial intelligence (AI) can transform osteoporosis (OP) screening, but its application in high-...

Cross-sectional evaluation of cardiovascular biological age using point-of-care ultrasound.

AIMS: Biological age is increasingly recognized as a superior predictor of morbidity, mortality, com...

Cuproptosis of endothelial cells in a hypoxic environment: from molecular classification to PMAIP1-targeted intervention.

Inflammatory protein profiling in immune cells identifies molecular signatures for enhanced diagnostic precision in psoriatic arthritis.

Psoriatic arthritis (PsA) lacks reliable biomarkers to support early diagnosis and disease stratific...

Percutaneous coronary intervention in high bleeding risk patients: a review of contemporary management strategies.

INTRODUCTION: High bleeding risk (HBR) affects over one-third of patients undergoing percutaneous co...

Machine Learning-Based Risk Prediction for Coronary Heart Disease Complicated by Hyperhomocysteinemia: Retrospective Study.

BACKGROUND: Hyperhomocysteinemia (HHcy) is recognized as an independent risk factor for coronary hea...

Age and sex specific coronary plaque characteristics among South Asians: Insights from the DILWALE CTA study.

BACKGROUND: South Asians (SA) face disproportionately high rates of premature coronary artery diseas...

SEQUAL: Self-refining and effective querying active learning with pseudo label divergence score for carotid intima-media segmentation in ultrasound.

Deep learning has achieved remarkable performance in carotid intima-media (CIM) segmentation from ul...

Identification of hub targets involved in carotid atherosclerosis through bioinformatics and machine learning approaches.

Elucidating the mechanism of plasticizers associated with atherosclerosis through network toxicology, bulk RNA sequencing, and single-cell RNA sequencing analysis.

PURPOSE: This study aims to screen and identify potential atherosclerosis (AS) biomarkers associated...

Development and Validation of a Machine Learning Model for Incident Heart Failure Prediction in Chronic Kidney Disease: A Multicenter Cohort Study.

BACKGROUND: Chronic kidney disease (CKD) and heart failure (HF) share pathophysiological mechanisms,...

Developing a practical machine learning model to predict post implantation syndrome after endovascular aneurysm repair.

BACKGROUND: Post-implantation syndrome (PIS) is recognized as a systemic inflammatory response follo...

An open B-mode ultrasound database for deep learning-based atherosclerotic plaque segmentation.

Cardiovascular events, predominantly ischemic, account for approximately 32% of global mortality and...

Explainable artificial intelligence for early Alzheimer's diagnosis using enhanced grey relational features and multimodal data.

Alzheimer's disease, a progressive neurodegenerative disorder, presents a growing global health chal...

Adiposome Lipidomic Shifts Following Bariatric Surgery in Association With Weight Loss and Cardiometabolic Benefit.

CONTEXT: Adiposomes carry bioactive lipids that shape systemic metabolism and vascular function. OBJ...

Development and validation of stability prediction models for intracranial aneurysms based on ensemble learning algorithms.

OBJECTIVE: This study aims to develop and validate ensemble learning models based on pre-rupture or ...

Comment on: "Geometric deep learning for local growth prediction on abdominal aortic aneurysm surfaces".

Machine learning for predicting macrophage activation syndrome in adult patients with Still's disease.

BACKGROUND: Macrophage activation syndrome (MAS) secondary to Still's disease is a potentially fatal...

Use of continuous glucose monitoring to stratify individuals without diabetes.

BACKGROUND: Early detection of metabolic dysfunction before diabetes onset remains a critical challe...

A Machine learning pipeline to investigate tissue ingrowth in cerebral aneurysms using preclinical animal models.

Cerebral aneurysm is a life-threatening condition characterized by the formation of a saccular bulge...

Metabolic networks in the tumor microenvironment: roles of amino acid and lipid metabolism pathways in cancer progression and therapy.

Metabolic rewiring, a defining hallmark of cancer, sustains cell proliferation and biosynthesis whil...