Cardiovascular

Dyslipidemia

Latest AI and machine learning research in dyslipidemia for healthcare professionals.

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Showing 61-80 of 5,560 articles

AI-derived oocyte morphology and follicular fluid biomarkers in donors.

Oocyte quality is a key determinant of reproductive success, yet its assessment in assisted reproduction largely relies on subjective morphological criteria. Artificial intelligence (AI)-based image analysis has introduced greater objectivity into oocyte evaluation; however, the biological features captured by AI-derived morphological scores remain incompletely defined. In this study, we integrate...

Jul 29 2026 42523187

Machine Learning Based on Multiparametric Features from Dual-Layer Detector Spectral CT for Identifying Ulcer-Like Projection in Aortic Intramural Hematoma.

Aortic intramural hematoma (IMH) is a high-risk subtype of acute aortic syndrome (AAS). The presence of ulcer-like projection (ULP) significantly increases the risk of progression to dissection, aneurysm, or rupture. However, conventional computed tomography angiography (CTA) has limited reliability in differentiating small ULP from the surrounding high-density hematoma or coexisting atherosclerot...

Jul 29 2026 42527792
Data-driven endocrine-metabolic phenotypes in young women with polycystic ovary syndrome and associations with cardiometabolic risk markers.

Polycystic ovary syndrome (PCOS) is a heterogeneous endocrine disorder associated with reproductive dysfunction and increased cardiometabolic risk. Co...

Jul 28 2026 42518080
The Role of Circulating Polyunsaturated Fatty Acids in Atrial Fibrillation and Atrial Cardiomyopathy: A Machine Learning-Informed Structural Modelling Approach.

AIMS: Beyond their cardioprotective effects, polyunsaturated fatty acids (PUFAs) have also been linked to arrhythmogenicity, raising concern among ind...

Jul 28 2026 42520406
Lesion-Level Association Between Artificial Intelligence-Derived Coronary Calcium Volume and Plaque Vulnerability.

BACKGROUND: Extensively calcified lesions are typically at low risk for lesion-level acute events, which may be related to less vulnerable plaques. OB...

Jul 28 2026 42520654
Long-Term Particulate Matter Exposure and Coronary Inflammation: A Large-Scale Cohort Study Assessed by Pericoronary Fat Attenuation Index.

Particulate matter (PM) is known to accelerate atherosclerosis through systemic inflammation, yet its specific impact on local coronary inflammation r...

Jul 28 2026 42520874
The tire antioxidant derivative 6PPD-quinone exacerbates IBD by targeting NR1H4-mediated lipid metabolism and mitochondrial dysfunction in human colon epithelial cells.

N: (1,3-Dimethylbutyl)-N'-phenyl-p-phenylenediamine quinone (6PPD-Q), a tire rubber antioxidant derivative, accumulates in air, soil, and water and ha...

Jul 28 2026 42521008
Shear Stress Modeling and Machine Learning for Nanomedicine Development: A Mechanistic Pathway to Pharmacokinetic Prediction.

Clinical translation of nanomedicines remains constrained by a persistent gap between static preclinical assays and the dynamic shear environment of t...

Jul 27 2026 42505089
Association Between Inflammatory Biomarkers And Carotid Ultrasound Parameters In The Northern Manhattan Stroke Study.

Inflammation contributes to atherosclerosis and vascular remodeling, but the immune pathways associated with distinct carotid ultrasound phenotypes, i...

Jul 27 2026 42507057
Sex differences in microvascular patterns associated with low- and high-risk for cardiovascular disease.

BACKGROUND: The role of the microcirculation in cardiovascular health in males and females is not fully understood. Skin microvascular function can be...

Jul 27 2026 42509570
Leveraging free-text clinical records for heart disease classification through structured feature mapping.

Hypertension and diabetes are major risk factors for heart disease, which remains among the leading causes of morbidity and mortality worldwide. Heart...

Jul 27 2026 42507733
Machine learning-based identification of cardiovascular risk modifiers in patients with very high LDL cholesterol: A cross-sectional study.

Individuals with LDL cholesterol (LDL-C) ≥ 190 mg/dL face a markedly increased risk of major adverse cardiovascular events (MACE). Traditional risk ca...

Jul 24 2026 42499084
Development and validation of an interpretable machine learning model for predicting hypertension risk in patients with psoriasis.

OBJECTIVE: Hypertension is a common yet frequently underdiagnosed comorbidity in psoriasis patients. Early identification and blood pressure control a...

Jul 24 2026 42502685
Comprehensive multi-omics approach to investigate the association between metabolic syndrome and pituitary neuroendocrine tumor risk in UK biobank: A cohort study.

OBJECTIVE: Metabolic syndrome (MetS) is a cluster of metabolic disorders linked to cancer development and progression. The pituitary gland plays a cen...

Jul 23 2026 42492596
AI-based Synthetic CT Angiography from Non-contrast CT for Cerebrovascular Disease Screening.

BACKGROUND: CT angiography (CTA) is a key investigation in cerebrovascular disease. However, CTA is not always available and it also requires intraven...

Jul 22 2026 42483869
VN1K is a pangenome-informed multi-omics and phenomics resource for the Vietnamese population.

The population of Vietnam remains underrepresented in global genomic databases. Here, we present VN1K, a resource of multi-omics and phenotypic inform...

Jul 22 2026 42486871
Prognostic value of nutritional and inflammatory biomarkers in patients with non-small cell lung cancer and bone metastasis: A retrospective study.

To evaluate the prognostic significance of nutritional-inflammatory biomarkers in non-small cell lung cancer (NSCLC) patients with bone metastases. Th...

Jul 21 2026 42534359
Machine learning-based analysis of risk factors and construction of a predictive model for hyperuricemia in Chinese health examination population.

Hyperuricemia (HUA) imposes a growing public health burden, calling for better risk stratification tools. In this cross-sectional study of 4906 Chines...

Jul 21 2026 42481561
Enhanced prediction of coronary heart disease risk in diabetic patients via Machine learning incorporating multiple inflammatory and metabolic indices: A study with Dual-Cohort validation.

BACKGROUND: Coronary heart disease (CHD) remains a leading cause of mortality worldwide, with individuals with diabetes mellitus (DM) facing markedly ...

Jul 20 2026 42494474
FOXC1: A Key Transcription Factor of VSMC-Derived Foam Cell Formation in Atherosclerotic Plaque Instability.

The instability of atherosclerotic plaques, particularly intraplaque hemorrhage (IPH), drives life-threatening cardiovascular events, a process in whi...

Jul 20 2026 42477884
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