Cardiovascular

Dyslipidemia

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

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Showing 1-21 of 4,902 articles
Machine Learning-Based Analysis of Lifestyle Risk Factors for Atherosclerotic Cardiovascular Disease: Retrospective Case-Control Study.

BACKGROUND: The risk of developing atherosclerotic cardiovascular disease (ASCVD) varies among indiv...

AI-Guided Cardiac Computer Tomography in Type 1 Diabetes Patients with Low Coronary Artery Calcium Score.

Cardiovascular risk stratification based on traditional risk factors lacks precision at the individ...

An open dataset and machine learning algorithms for Niacin Skin-Flushing Response based screening of psychiatric disorders.

BACKGROUND: Niacin Skin-Flushing Response (NSR) has emerged as a promising objective biomarker for t...

Thermodynamic analysis and intelligent modeling of statin drugs solubility in supercritical carbon dioxide.

Evaluating the solubility of various drugs in supercritical CO is a fundamental step in developing a...

Advances in mass spectrometry of lipids for the investigation of Niemann-pick type C disease.

Niemann-Pick type C (NPC) disease is a devastating, fatal, neurodegenerative disease and a form of l...

Comprehensive analysis of cholesterol metabolism-related genes in prostate cancer: integrated analysis of single-cell and bulk RNA sequencing.

BACKGROUND: Cholesterol metabolism plays a significant role in cancer progression, including prostat...

Machine learning-based high-benefit approach versus traditional high-risk approach in statin therapy: the Shizuoka Kokuho database study.

Statins are widely prescribed for the primary prevention of cardiovascular diseases, yet individual ...

Carotid and femoral bifurcation plaques detected by ultrasound as predictors of cardiovascular events.

Risk factor-based algorithms give a good estimate of cardiovascular (CV) risk at the population leve...

Machine learning identification of key genes in cardioembolic stroke and atherosclerosis: their association with pan-cancer and immune cells.

BACKGROUND: Cardioembolic stroke (CS) and atherosclerosis (AS) are closely related diseases. Ferropt...

Automatic measuring of coronary atherosclerosis from medicolegal autopsy photographs based on deep learning techniques.

A diagnosis of atherosclerotic cardiovascular disease is critical importance in forensic medicine, p...

Identification of diagnostic biomarkers and dissecting immune microenvironment with crosstalk genes in the POAG and COVID-19 nexus.

An underlying association between primary open-angle glaucoma (POAG) and COVID-19 has been hypothesi...

Development and validation of a prognostic model for predicting survival and immunotherapy benefits in melanoma based on metabolism-relevant genes.

Skin cutaneous melanoma (SKCM) is a fatal form of skin cancer. Metabolism-related genes (MRGs) compr...

Incidental Finding of Coronary and Non-Coronary Artery Calcium: What Do Clinicians Need To Know?

PURPOSE OF REVIEW: This review summarizes the role of incidentally and non-incidentally discovered c...

Modelling key ecological factors influencing the distribution and content of silymarin antioxidant in Silybum marianum L.

The increasing demand for natural medicine has increased the significance of Silybum marianum as a v...

Quantitative CT Imaging in Chronic Obstructive Pulmonary Disease.

Chronic obstructive pulmonary disease (COPD) is a highly heterogeneous condition characterized by di...

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