AIMC Topic: Folic Acid
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A large-scale multicenter study of reference intervals and clinical potential for homocysteine-folate cycle metabolites in Northern Chinese population.
Clinica chimica acta; international journal of clinical chemistry
Mar 27, 2025
OBJECTIVES: The study was conducted to establish the reference intervals of homocysteine-folate cycle metabolites based on the healthy population from multiple centers in northern China, and determine their clinical significance in the diagnosis of r...
Use of Natural Language Processing to Identify Sexual and Reproductive Health Information in Clinical Text.
Methods of information in medicine
Dec 20, 2023
OBJECTIVES: This study aimed to enable clinical researchers without expertise in natural language processing (NLP) to extract and analyze information about sexual and reproductive health (SRH), or other sensitive health topics, from large sets of cli...
High-throughput image analysis with deep learning captures heterogeneity and spatial relationships after kidney injury.
Scientific reports
Apr 19, 2023
Recovery from acute kidney injury can vary widely in patients and in animal models. Immunofluorescence staining can provide spatial information about heterogeneous injury responses, but often only a fraction of stained tissue is analyzed. Deep learni...
Combining genetic risk score with artificial neural network to predict the efficacy of folic acid therapy to hyperhomocysteinemia.
Scientific reports
Nov 2, 2021
Artificial neural network (ANN) is the main tool to dig data and was inspired by the human brain and nervous system. Several studies clarified its application in medicine. However, none has applied ANN to predict the efficacy of folic acid treatment ...
Dual-emission CdTe/AgInS photoluminescence probe coupled to neural network data processing for the simultaneous determination of folic acid and iron (II).
Analytica chimica acta
Apr 8, 2020
This work focused on the combination of CdTe and AgInS quantum dots in a dual-emission nanoprobe for the simultaneous determination of folic acid and Fe(II) in pharmaceutical formulations. The surface chemistry of the used QDs was amended with suitab...
Regular cold water swimming during winter time affects resting hematological parameters and serum erythropoietin.
Journal of physiology and pharmacology : an official journal of the Polish Physiological Society
Jan 30, 2020
Recreational winter swimming in cold sea water evokes body responses to regularly repeated cold water immersion. However, the understanding of adaptive changes is still limited and data regarding very short-term exposure to severe cold stress are sca...
Thermal and irradiation resistance of folic acid encapsulated in zein ultrafine fibers or nanocapsules produced by electrospinning and electrospraying.
Food research international (Ottawa, Ont.)
Aug 7, 2018
The objectives of this study were to characterize zein fibers and capsules prepared by electrospinning and electrospraying techniques, respectively, and then use them to encapsulate folic acid. Folic acid containing fibers and capsules (0.5, 1.0, and...
Machine learning algorithm-based risk prediction model of coronary artery disease.
Molecular biology reports
Jul 11, 2018
In view of high mortality associated with coronary artery disease (CAD), development of an early predicting tool will be beneficial in reducing the burden of the disease. The database comprising demographic, conventional, folate/xenobiotic genetic ri...
Multifactor Dimensionality Reduction
Xenobiotics
Cytochrome P-450 CYP1A1
Glycine Hydroxymethyltransferase
Polymorphism, Single Nucleotide
Humans
Coronary Artery Disease
Machine Learning
Folic Acid
Algorithms
Epistasis, Genetic
Risk Factors
Male
Aged
Forecasting
Middle Aged
Adult
Female
Case-Control Studies
Genetic Predisposition to Disease
Artificial neural network-based exploration of gene-nutrient interactions in folate and xenobiotic metabolic pathways that modulate susceptibility to breast cancer.
Gene
Jan 16, 2016
In the current study, an artificial neural network (ANN)-based breast cancer prediction model was developed from the data of folate and xenobiotic pathway genetic polymorphisms along with the nutritional and demographic variables to investigate how m...
Effects of long-term folate supplementation on metabolic status and regression of cervical intraepithelial neoplasia: A randomized, double-blind, placebo-controlled trial.
Nutrition (Burbank, Los Angeles County, Calif.)
Dec 29, 2015
OBJECTIVE: This study was conducted to determine the effects of long-term folate supplementation on regression and metabolic status of patients with cervical intraepithelial neoplasia grade 1 (CIN1).
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