AIMC Topic: Fatty Acids

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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 Sep 20, 2024
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...
Middle Aged Adolescent Regression Analysis Female Young Adult Adult Chromatography, Gas Dietary Fats Diet Records Trans Fatty Acids Japan Fatty Acids Diet Surveys Machine Learning Biomarkers Humans
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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 Aug 24, 2024
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 %,...
Fatty Acids Taste Volatile Organic Compounds Red Meat Machine Learning Animals Cattle
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Developing a machine learning-based prognosis and immunotherapeutic response signature in colorectal cancer: insights from ferroptosis, fatty acid dynamics, and the tumor microenvironment.

Frontiers in immunology Jul 15, 2024
INSTRUCTION: Colorectal cancer (CRC) poses a challenge to public health and is characterized by a high incidence rate. This study explored the relationship between ferroptosis and fatty acid metabolism in the tumor microenvironment (TME) of patients ...
Fatty Acids Biomarkers, Tumor Male Gene Expression Profiling Gene Expression Regulation, Neoplastic Ferroptosis Transcriptome Immunotherapy Female Colorectal Neoplasms Tumor Microenvironment Humans Machine Learning Prognosis
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Predicting subacute ruminal acidosis from milk mid-infrared estimated fatty acids and machine learning on Canadian commercial dairy herds.

Journal of dairy science Jul 4, 2024
Our objective was to validate the possibility of detecting SARA from milk Fourier transform mid-infrared spectroscopy estimated fatty acids (FA) and machine learning. Subacute ruminal acidosis is a common condition in modern commercial dairy herds fo...
Cattle Cattle Diseases Canada Fatty Acids Machine Learning Female Animals Milk Acidosis Rumen
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Machine learning predicts the serum PFOA and PFOS levels in pregnant women: Enhancement of fatty acid status on model performance.

Environment international Jun 19, 2024
Human exposure to per- and polyfluoroalkyl substances (PFASs) has received considerable attention, particularly in pregnant women because of their dramatic changes in physiological status and dietary patterns. Predicting internal PFAS exposure in pre...
Alkanesulfonic Acids Caprylates Fluorocarbons Adult Environmental Pollutants Fatty Acids Humans Machine Learning Pregnancy Female Young Adult
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Integrating mid-infrared spectroscopy, machine learning, and graphical bias correction for fatty acid prediction in water buffalo milk.

Journal of the science of food and agriculture Apr 15, 2024
BACKGROUND: Buffalo milk, constituting 15% of global production, has higher fatty acids content than Holstein milk. Fourier-transform mid-infrared (FT-MIR) spectroscopy is widely used for dairy analysis, but its application to buffalo milk, with larg...
Milk Spectroscopy, Fourier Transform Infrared Fatty Acids Buffaloes Machine Learning Animals
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Efficient interatomic descriptors for accurate machine learning force fields of extended molecules.

Nature communications Jun 15, 2023
Machine learning force fields (MLFFs) are gradually evolving towards enabling molecular dynamics simulations of molecules and materials with ab initio accuracy but at a small fraction of the computational cost. However, several challenges remain to b...
Machine Learning Molecular Dynamics Simulation Fatty Acids
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Fully automatic resolution of untargeted GC-MS data with deep learning assistance.

Talanta Mar 26, 2022
DeepResolution (Deep learning-assisted multivariate curve Resolution) has been proposed to solve the co-eluting problem for GC-MS data. However, DeepResolution models must be retrained when encountering unknown components, which is undoubtedly time-c...
Mass Spectrometry Fatty Acids Gas Chromatography-Mass Spectrometry Neural Networks, Computer Male Deep Learning Humans
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Cohort profile: Japanese human milk study, a prospective birth cohort: baseline data for lactating women, infants and human milk macronutrients.

BMJ open Dec 30, 2021
PURPOSE: The Japanese Human Milk Study, a longitudinal prospective cohort study, was set up to clarify how maternal health, nutritional status, lifestyle and sociodemographic and economic factors affect breastfeeding practices and human milk composit...
Nutrients Fatty Acids Carbohydrates Japan Lactation Breast Feeding Phospholipids Infant Cohort Studies Child Milk, Human Vitamin D Osteopontin Female Cesarean Section Male Humans Prospective Studies Pregnancy
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The alterations of miRNA and mRNA expression profile and their integration analysis induced by silica nanoparticles in spermatocyte cells.

NanoImpact Aug 11, 2021
Air pollution and the application of Silica nanoparticles (SiNPs) have increased the risk of human exposure to SiNPs. SiNPs are known to induce cytotoxicity in spermatocyte cells (GC-2spd cells) of mice and male reproductive system damage. However, t...
Fatty Acids Spermatocytes RNA, Messenger Nanoparticles MicroRNAs Silicon Dioxide Animals Male
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