AIMC Topic: Cholesterol

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TRENDS IN CHOLESTEROL AND LIPOPROTEINS ARE ASSOCIATED WITH ACUTE RESPIRATORY DISTRESS SYNDROME INCIDENCE AND DEATH AMONG SEPSIS PATIENTS.

Shock (Augusta, Ga.) Dec 28, 2023
Objective: Compare changes in cholesterol and lipoprotein levels occurring in septic patients with and without acute respiratory distress syndrome (ARDS) and by survivorship. Methods: We reanalyzed data from prospective sepsis studies. Cholesterol an...
Respiratory Distress Syndrome Lipoproteins Apolipoprotein A-I Cholesterol, LDL Humans Cholesterol Prospective Studies Sepsis Incidence
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Vascular Age Assessed From an Uncalibrated, Noninvasive Pressure Waveform by Using a Deep Learning Approach: The AI-VascularAge Model.

Hypertension (Dallas, Tex. : 1979) Oct 30, 2023
BACKGROUND: Aortic stiffness, assessed as carotid-femoral pulse wave velocity, provides a measure of vascular age and risk for adverse cardiovascular disease outcomes, but it is difficult to measure. The shape of arterial pressure waveforms conveys i...
Humans Artificial Intelligence Risk Factors Pulse Wave Analysis Cardiovascular Diseases Deep Learning Cholesterol Blood Pressure Heart Failure Vascular Stiffness Carotid Arteries Coronary Disease
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Evaluating the risk of hypertension in residents in primary care in Shanghai, China with machine learning algorithms.

Frontiers in public health Oct 4, 2022
OBJECTIVE: The prevention of hypertension in primary care requires an effective and suitable hypertension risk assessment model. The aim of this study was to develop and compare the performances of three machine learning algorithms in predicting the ...
Humans Machine Learning Algorithms Aged Adult Cholesterol Nitrogen Glucose Creatinine Lipoproteins, HDL China Primary Health Care Hypertension Lipoproteins, LDL Urea Triglycerides
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Development of non-bias phenotypic drug screening for cardiomyocyte hypertrophy by image segmentation using deep learning.

Biochemical and biophysical research communications Oct 1, 2022
The number of patients with heart failure and related deaths is rapidly increasing worldwide, making it a major problem. Cardiac hypertrophy is a crucial preliminary step in heart failure, but its treatment has not yet been fully successful. In this ...
Angiotensin II Endothelin-1 Cells, Cultured Heart Failure Animals Deep Learning Cardiomegaly Mice Myocytes, Cardiac Rats Ezetimibe Cholesterol Drug Evaluation, Preclinical
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Danshao Shugan Granule therapy for non-alcoholic fatty liver disease.

Lipids in health and disease Aug 23, 2022
BACKGROUND: Danshao Shugan Granules (DSSG), a traditional Chinese medicine (TCM), is given to protect the liver. The objective is to evaluate the mechanisms of the effects of DSSG on non-alcoholic fatty liver disease (NAFLD).
Aspartate Aminotransferases Triglycerides Rosiglitazone Silybin NF-kappa B Cholesterol Non-alcoholic Fatty Liver Disease Alanine Transaminase Humans Animals Mice Rats Malondialdehyde Superoxide Dismutase Medicine, Chinese Traditional Rats, Sprague-Dawley Liver
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Using Machine Learning to Evaluate the Role of Microinflammation in Cardiovascular Events in Patients With Chronic Kidney Disease.

Frontiers in immunology Jan 10, 2022
BACKGROUND: Lipid metabolism disorder, as one major complication in patients with chronic kidney disease (CKD), is tied to an increased risk for cardiovascular disease (CVD). Traditional lipid-lowering statins have been found to have limited benefit ...
Renal Insufficiency, Chronic C-Reactive Protein Cholesterol Hydroxymethylglutaryl-CoA Reductase Inhibitors Retrospective Studies Electronic Health Records Female Risk Factors Aged Male Cardiovascular Diseases Middle Aged Inflammation Humans Neural Networks, Computer Machine Learning
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Artificial intelligence approaches to the determinants of women's vaginal dryness using general hospital data.

Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology Jan 7, 2022
The aim of this study is to analyse the determinants of women's vaginal dryness using machine learning. Data came from Korea University Anam Hospital in Seoul, Republic of Korea, with 3298 women, aged 40-80 years, who attended their general health ch...
Hospitals, General Vaginal Diseases Female Humans Middle Aged Artificial Intelligence Inflammation Cholesterol Menopause
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A deep-learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibre.

Nature biomedical engineering Oct 12, 2020
Retinal blood vessels provide information on the risk of cardiovascular disease (CVD). Here, we report the development and validation of deep-learning models for the automated measurement of retinal-vessel calibre in retinal photographs, using divers...
Retinal Vessels Hypertensive Retinopathy Risk Assessment Image Interpretation, Computer-Assisted Deep Learning Datasets as Topic Body Mass Index Aged Coronary Disease Blood Pressure Aged, 80 and over Photography Humans Glycated Hemoglobin Adult Retrospective Studies Cholesterol Male Female Stroke Middle Aged Risk Factors Myocardial Infarction Retina
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Comparison of Machine Learning Methods and Conventional Logistic Regressions for Predicting Gestational Diabetes Using Routine Clinical Data: A Retrospective Cohort Study.

Journal of diabetes research Jun 12, 2020
BACKGROUND: Gestational diabetes mellitus (GDM) contributes to adverse pregnancy and birth outcomes. In recent decades, extensive research has been devoted to the early prediction of GDM by various methods. Machine learning methods are flexible predi...
Clinical Decision Rules Pregnancy in Obesity Routinely Collected Health Data Uric Acid Diabetes, Gestational Lipoproteins, HDL Maternal Age Triglycerides Logistic Models Decision Trees Glycated Hemoglobin Cholesterol Humans Reproducibility of Results Machine Learning Young Adult Retrospective Studies Adult Pregnancy Blood Glucose Female Cohort Studies
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A machine learning approach to estimation of phase diagrams for three-component lipid mixtures.

Biochimica et biophysica acta. Biomembranes May 11, 2020
The plasma membrane of eukaryotic cells is commonly believed to contain ordered lipid domains. The interest in understanding the origin of such domains has led to extensive studies on the phase behavior of mixed lipid systems. Three-component phase d...
Machine Learning Temperature Lipids Cholesterol Cell Membrane Lipid Bilayers
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