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Fatty Acids

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Using machine-learning approaches to investigate the volatile-compound fingerprint of fishy off-flavour from beef with enhanced healthful fatty acids.

Meat science 39217803
Machine learning classification approaches were used to discriminate a fishy off-flavour identified in beef with health-enhanced fatty acid profiles. The random forest approach outperformed (P < 0.001; receiver operating characteristic curve: 99.8 %,...
Animals Cattle Fatty Acids Machine Learning Red Meat Taste Volatile Organic Compounds
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Identification of fatty acid metabolism signature genes in patients with pulmonary arterial hypertension using WGCNA and machine learning.

The Journal of international medical research 39324181
OBJECTIVE: To investigate the signature genes of fatty acid metabolism and their association with immune cells in pulmonary arterial hypertension (PAH).
Algorithms Computational Biology Databases, Genetic Fatty Acids Female Gene Expression Profiling Gene Regulatory Networks Humans Hypertension, Pulmonary Machine Learning Male Pulmonary Arterial Hypertension Retrospective Studies ROC Curve Transcriptome
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Prediction of Fatty Acid Intake from Serum Fatty Acid Levels Using Machine Learning Technique in Women Living in Toyama Prefecture.

Journal of oleo science 39313396
Preventing lifestyle-related diseases requires understanding and managing the intake of total fats and specific types of fatty acids, especially trans fatty acids. There are several methods for measuring fat intake, each with its own strengths and li...
Adolescent Adult Biomarkers Chromatography, Gas Diet Records Diet Surveys Dietary Fats Fatty Acids Female Humans Japan Machine Learning Middle Aged Regression Analysis Trans Fatty Acids Young Adult
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Utilizing integrated bioinformatics and machine learning approaches to elucidate biomarkers linking sepsis to fatty acid metabolism-associated genes.

Scientific reports 39578562
Sepsis, characterized as a systemic inflammatory response triggered by the invasion of pathogens, represents a continuum that may escalate from mild systemic infection to severe sepsis, potentially resulting in septic shock and multiple organ dysfunc...
Biomarkers Computational Biology Fatty Acids Gene Expression Profiling Gene Regulatory Networks Humans Lipid Metabolism Machine Learning Sepsis
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Estimation of fatty acid composition in mammary adipose tissue using deep neural network with unsupervised training.

Magnetic resonance in medicine 39641987
PURPOSE: To develop a deep learning-based method for robust and rapid estimation of the fatty acid composition (FAC) in mammary adipose tissue.
Adipose Tissue Breast Breast Neoplasms Deep Learning Fatty Acids Female Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Middle Aged Neural Networks, Computer Phantoms, Imaging Unsupervised Machine Learning
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Role of fatty acid metabolism-related genes in periodontitis based on machine learning and bioinformatics analysis.

Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology 39610070
OBJECTIVES: This study aims to investigate the role of genes related to fatty acid metabolism in periodontitis through machine learning and bioinformatics methods.
Algorithms Chemokine CXCL12 Computational Biology Fatty Acid-Binding Proteins Fatty Acids Humans Machine Learning Periodontitis
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Identification of novel metabolism-related biomarkers of Kawasaki disease by integrating single-cell RNA sequencing analysis and machine learning algorithms.

Frontiers in immunology 40276515
BACKGROUND: The bile acid metabolism (BAM) and fatty acid metabolism (FAM) have been implicated in Kawasaki disease (KD), but their precise mechanisms remain unclear. Identifying signature cells and genes related to BAM and FAM could offer a deeper u...
Biomarkers Fatty Acids Gene Expression Profiling Humans Machine Learning Monocytes Mucocutaneous Lymph Node Syndrome Sequence Analysis, RNA Single-Cell Analysis Transcriptome
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Prediction of coffee traits by artificial neural networks and laser-assisted rapid evaporative ionization mass spectrometry.

Food research international (Ottawa, Ont.) 40022319
BACKGROUND: Coffee is an important commodity in the worldwide economy and smart technologies are important for accurate quality control and consumer-oriented product development. Sensory perception is probably the most important information since it ...
Coffee Discriminant Analysis Fatty Acids Humans Lasers Mass Spectrometry Neural Networks, Computer Taste
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Integrative bioinformatics and machine learning approach unveils potential biomarkers linking coronary atherosclerosis and fatty acid metabolism-associated gene.

Journal of cardiothoracic surgery 39825440
BACKGROUND: Atherosclerosis (AS) is increasingly recognized as a chronic inflammatory disease that significantly compromises vascular health and acts as a major contributor to cardiovascular diseases. Advancements in lipidomics and metabolomics have ...
Biomarkers Computational Biology Coronary Artery Disease Fatty Acids Gene Expression Profiling Humans Machine Learning
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Representative training data sets are critical for accurate machine-learning classification of microscopy images of particles formed by lipase-catalyzed polysorbate hydrolysis.

Journal of pharmaceutical sciences 39824250
Polysorbate 20 (PS20) is commonly used as an excipient in therapeutic protein formulations. However, over the course of a therapeutic protein product's shelf life, minute amounts of co-purified host-cell lipases may cause slow hydrolysis of PS20, rel...
Excipients Fatty Acids Hydrolysis Image Processing, Computer-Assisted Lipase Machine Learning Microscopy Neural Networks, Computer Particle Size Polysorbates
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