AIMC Topic: Triglycerides
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A machine learning analysis of predictors of future hypertension in a young population.
Minerva cardiology and angiology
May 27, 2024
BACKGROUND: Early diagnosis of hypertension (HT) is crucial for preventing end-organ damage. This study aims to identify the risk factors for future HT in young individuals through the application of machine learning (ML) models.
Comparative Analysis of Chemical Descriptors by Machine Learning Reveals Atomistic Insights into Solute-Lipid Interactions.
Molecular pharmaceutics
May 23, 2024
This study explores the research area of drug solubility in lipid excipients, an area persistently complex despite recent advancements in understanding and predicting solubility based on molecular structure. To this end, this research investigated no...
A comparative evaluation of low-density lipoprotein cholesterol estimation: Machine learning algorithms versus various equations.
Clinica chimica acta; international journal of clinical chemistry
Mar 9, 2024
BACKGROUND: Given the critical importance of Low-density lipoprotein cholesterol (LDL-C) levels in determining cardiovascular risk, it is essential to measure LDL-C accurately. Since the Friedewald formula generates incorrect predictions in many circ...
Enabling Lipidomic Biomarker Studies for Protected Populations by Combining Noninvasive Fingerprint Sampling with MS Analysis and Machine Learning.
Journal of proteome research
Jan 3, 2024
Triacylglycerols and wax esters are two lipid classes that have been linked to diseases, including autism, Alzheimer's disease, dementia, cardiovascular disease, dry eye disease, and diabetes, and thus are molecules worthy of biomarker exploration st...
Integrative deep learning framework predicts lipidomics-based investigation of preservatives on meat nutritional biomarkers and metabolic pathways.
Critical reviews in food science and nutrition
Dec 21, 2023
Preservatives are added as antimicrobial agents to extend the shelf life of meat. Adding preservatives to meat products can affect their flavor and nutrition. This review clarifies the effects of preservatives on metabolic pathways and network molecu...
Unmasking crucial residues in adipose triglyceride lipase for coactivation with comparative gene identification-58.
Journal of lipid research
Dec 20, 2023
Lipolysis is an essential metabolic process that releases unesterified fatty acids from neutral lipid stores to maintain energy homeostasis in living organisms. Adipose triglyceride lipase (ATGL) plays a key role in intracellular lipolysis and can be...
-derived postbiotics inhibited digestion of triglycerides, glycerol phospholipids and sterol lipids allosteric regulation of BSSL, PTL and PLA2 to prevent obesity: perspectives on deep learning integrated multi-omics.
Food & function
Aug 14, 2023
The anti-obesity potential of probiotics has been widely reported, however their utilization in high-risk patients and potential adverse reactions have led researchers to focus their attention on postbiotics. Herein, pseudo-targeted lipidomics linked...
Dataset dependency of low-density lipoprotein-cholesterol estimation by machine learning.
Annals of clinical biochemistry
Jun 5, 2023
OBJECTIVES: We evaluated the applicability of a machine learning-based low-density lipoprotein-cholesterol (LDL-C) estimation method and the influence of the characteristics of the training datasets.
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 ...
Predictive Models for Knee Pain in Middle-Aged and Elderly Individuals Based on Machine Learning Methods.
Computational and mathematical methods in medicine
Sep 26, 2022
AIM: This study used machine learning methods to develop a prediction model for knee pain in middle-aged and elderly individuals.
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