AIMC Topic: Lipids

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Identification of the lipid-lowering component of triterpenes from Alismatis rhizoma based on the MRM-based characteristic chemical profiles and support vector machine model.

Analytical and bioanalytical chemistry May 14, 2019
It has been demonstrated that triterpenes in Alismatis rhizoma (Zexie in Chinese, ZX) contributed to the lipid-lowering effect on high-fat diet-induced hyperlipidemia. Alisol B 23-acetate, one of the abundant triterpenes in ZX, was used as the marker...
Animals Drug Discovery Mice Support Vector Machine Lipids Tandem Mass Spectrometry Hyperlipidemias Hypolipidemic Agents 3T3-L1 Cells Rhizome Alismataceae Adipogenesis Lipid Metabolism Triterpenes Drug Evaluation, Preclinical Chromatography, High Pressure Liquid
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Application of Machine Learning to Identify Clustering of Cardiometabolic Risk Factors in U.S. Adults.

Diabetes technology & therapeutics Apr 10, 2019
The aim of this study is to compare some machine learning methods with traditional statistical parametric analyses using logistic regression to investigate the relationship of risk factors for diabetes and cardiovascular (cardiometabolic risk) for U...
Risk Factors Aged Aged, 80 and over Young Adult Adult Humans Machine Learning Algorithms Female United States Body Mass Index Cluster Analysis Lipids Waist Circumference Male Cardiovascular Diseases Middle Aged Risk Assessment Adolescent Metabolic Diseases Smoking Alcohol Drinking Life Style
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Plaque components segmentation in carotid artery on simultaneous non-contrast angiography and intraplaque hemorrhage imaging using machine learning.

Magnetic resonance imaging Apr 5, 2019
PURPOSE: This study sought to determine the feasibility of using Simultaneous Non-contrast Angiography and intraPlaque Hemorrhage (SNAP) to detect the lipid-rich/necrotic core (LRNC), and develop a machine learning based algorithm to segment plaque c...
Sensitivity and Specificity Male Middle Aged Contrast Media Calcinosis Plaque, Atherosclerotic Lipids Angiography Cerebral Hemorrhage Necrosis Machine Learning Bayes Theorem Carotid Stenosis Carotid Arteries Algorithms Carotid Artery, Common Plaque, Amyloid Female Humans Reproducibility of Results Aged
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Production of lipid-containing algal-bacterial polyculture in wastewater and biomethanation of lipid extracted residues: Enhancing methane yield through hydrothermal pretreatment and relieving solvent toxicity through co-digestion.

The Science of the total environment Nov 6, 2018
The feasibility of generating a lipid-containing algal-bacterial polyculture biomass in municipal primary wastewater and enhancing biomethanation of lipid-extracted algal residues (LEA) through hydrothermal pretreatment and co-digestion with sewage s...
Kinetics Wastewater Solvents Biomass Sewage Bacteria Coculture Techniques Lipids Chlorophyta Methane
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Delimiting the knowledge space and the design space of nanostructured lipid carriers through Artificial Intelligence tools.

International journal of pharmaceutics Oct 26, 2018
Nanostructured lipid carriers (NLC) are biocompatible and biodegradable nanoscale systems with extensive application for controlled drug release. However, the development of optimal nanosystems along with a reproducible manufacturing process is still...
Lipids Drug Carriers Artificial Intelligence Surface-Active Agents Databases, Factual Delayed-Action Preparations Hydrophobic and Hydrophilic Interactions Reproducibility of Results Rifabutin Chemistry, Pharmaceutical Nanoparticles Particle Size
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Machine-learning based lipid mediator serum concentration patterns allow identification of multiple sclerosis patients with high accuracy.

Scientific reports Oct 5, 2018
Based on increasing evidence suggesting that MS pathology involves alterations in bioactive lipid metabolism, the present analysis was aimed at generating a complex serum lipid-biomarker. Using unsupervised machine-learning, implemented as emergent s...
Lipids Bayes Theorem Female Multiple Sclerosis Young Adult Humans Adult Machine Learning Male Biomarkers Middle Aged
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Skin surface lipid differences in sensitive skin caused by psychological stress and distinguished by support vector machine.

Journal of cosmetic dermatology Oct 2, 2018
BACKGROUND: Sensitive skin refers to skin that tends to be highly responsive to stimuli such as physical, chemical, and psychological. Psychological factors play an important role in the pathology of sensitive skin.
Hyperesthesia Young Adult Adult Stress, Psychological Support Vector Machine Lipids Discriminant Analysis Skin Chromatography, High Pressure Liquid Tandem Mass Spectrometry Permeability Humans Female
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Characterization of Adrenal Lesions on Unenhanced MRI Using Texture Analysis: A Machine-Learning Approach.

Journal of magnetic resonance imaging : JMRI Jan 17, 2018
BACKGROUND: Adrenal adenomas (AA) are the most common benign adrenal lesions, often characterized based on intralesional fat content as either lipid-rich (LRA) or lipid-poor (LPA). The differentiation of AA, particularly LPA, from nonadenoma adrenal ...
Aged Young Adult Adult Male Middle Aged Adolescent Image Processing, Computer-Assisted Contrast Media Magnetic Resonance Imaging Lipids Machine Learning Algorithms Retrospective Studies Female Humans Adenoma Reproducibility of Results Adrenal Gland Neoplasms Image Interpretation, Computer-Assisted Pattern Recognition, Automated Adrenal Glands
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Comparison of Changes in the Lipid Profiles of Eastern Chinese Postmenopausal Women With Early-Stage Breast Cancer Treated With Different Aromatase Inhibitors: A Retrospective Study.

Clinical pharmacology in drug development Dec 29, 2017
Cardiovascular morbidity is closely associated with serum lipid level. We aimed to investigate the effects of different aromatase inhibitors, including letrozole, anastrozole, and exemestane, on the lipid profile of eastern Chinese breast cancer pati...
Postmenopause Humans Aromatase Inhibitors Retrospective Studies Anastrozole Middle Aged Female Androstadienes China Aged Letrozole Lipids Breast Neoplasms Lipid Metabolism Asian People
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The effect of fasting status on lipids, lipoproteins, and inflammatory biomarkers assessed after hospitalization for an acute coronary syndrome: Insights from PROVE IT-TIMI 22.

Clinical cardiology Dec 28, 2017
BACKGROUND: For decades, fasting for 8 to 12 hours has been recommended for measurement of lipid profiles. The effect of fasting on low-density lipoprotein cholesterol (LDL-C) and triglycerides (TG) has been described in healthy cohorts and those wit...
Humans Acute Coronary Syndrome Biomarkers Atorvastatin Inflammation Prognosis Pravastatin Follow-Up Studies Retrospective Studies Immunoturbidimetry Dose-Response Relationship, Drug Female Lipids Lipoproteins Hospitalization Male Middle Aged Fasting Colorimetry
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