AIMC Topic: Glucose

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Prediction of ethanol fermentation under stressed conditions using yeast morphological data.

Journal of bioscience and bioengineering Jan 13, 2023
A high sugar concentration is used as a starting condition in alcoholic fermentation by budding yeast, which shows changes in intracellular state and cell morphology under conditions of high-sugar stress. In this study, we developed artificial intell...
Saccharomyces cerevisiae Carbohydrates Fermentation Sugars Artificial Intelligence Ethanol Glucose
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Identification of Glucose Transport Modulators In Vitro and Method for Their Deep Learning Neural Network Behavioral Evaluation in Glucose Transporter 1-Deficient Mice.

The Journal of pharmacology and experimental therapeutics Jan 12, 2023
Metabolic flux augmentation via glucose transport activation may be desirable in glucose transporter 1 (Glut1) deficiency syndrome (G1D) and dementia, whereas suppression might prove useful in cancer. Using lung adenocarcinoma cells that predominantl...
Humans Animals Carbohydrate Metabolism, Inborn Errors Deep Learning Glucose Transporter Type 1 Monosaccharide Transport Proteins Mice Glucose
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A regression-based machine learning approach for pH and glucose detection with redox-sensitive colorimetric paper sensors.

Analytical methods : advancing methods and applications Dec 1, 2022
Colorimetric paper sensors are used in various fields due to their convenience and intuitive manner. However, these sensors present low accuracy in practical use because it is difficult to distinguish color changes for a minute amount of analyte with...
Oxidation-Reduction Machine Learning Glucose Colorimetry Hydrogen-Ion Concentration
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Machine Learning with Neural Networks to Enhance Selectivity of Nonenzymatic Electrochemical Biosensors in Multianalyte Mixtures.

ACS applied materials & interfaces Nov 17, 2022
Nonenzymatic biosensors hold great potential in the field of analysis and detection due to long-term stability, high sensitivity, and low cost. However, the relative low selectivity, especially the overlapped oxidation peaks of biomarkers, in the bio...
Neural Networks, Computer Machine Learning Lactic Acid Biosensing Techniques Glucose
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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 ...
Urea Triglycerides Creatinine Lipoproteins, HDL Primary Health Care Hypertension Lipoproteins, LDL Cholesterol Nitrogen Glucose Aged Humans Adult Machine Learning China Algorithms
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Circulating serum metabolites as predictors of dementia: a machine learning approach in a 21-year follow-up of the Whitehall II cohort study.

BMC medicine Sep 27, 2022
BACKGROUND: Age is the strongest risk factor for dementia and there is considerable interest in identifying scalable, blood-based biomarkers in predicting dementia. We examined the role of midlife serum metabolites using a machine learning approach a...
Biomarkers Risk Factors Middle Aged Humans Machine Learning Glucose Dementia Cohort Studies Follow-Up Studies
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Identifying Glucose Metabolism Status in Nondiabetic Japanese Adults Using Machine Learning Model with Simple Questionnaire.

Computational and mathematical methods in medicine Sep 9, 2022
We aimed to identify the glucose metabolism statuses of nondiabetic Japanese adults using a machine learning model with a questionnaire. In this cross-sectional study, Japanese adults (aged 20-64 years) from Tokyo and surrounding areas were recruited...
Japan Machine Learning Adult Cross-Sectional Studies Surveys and Questionnaires Diabetes Mellitus Glucose Humans
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Machine Learning Methods of Regression for Plasmonic Nanoantenna Glucose Sensing.

Sensors (Basel, Switzerland) Dec 21, 2021
The measurement and quantification of glucose concentrations is a field of major interest, whether motivated by potential clinical applications or as a prime example of biosensing in basic research. In recent years, optical sensing methods have emerg...
Machine Learning Algorithms Glucose Fructose Spectrophotometry, Infrared
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Improvement of the Force Field for -d-Glucose with Machine Learning.

Molecules (Basel, Switzerland) Nov 5, 2021
While the construction of a dependable force field for performing classical molecular dynamics (MD) simulation is crucial for elucidating the structure and function of biomolecular systems, the attempts to do this for glycans are relatively sparse co...
Static Electricity Machine Learning Algorithms Glucose Models, Theoretical Molecular Dynamics Simulation Molecular Structure Molecular Conformation
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Genetic dissection of complex traits using hierarchical biological knowledge.

PLoS computational biology Sep 17, 2021
Despite the growing constellation of genetic loci linked to common traits, these loci have yet to account for most heritable variation, and most act through poorly understood mechanisms. Recent machine learning (ML) systems have used hierarchical bio...
Saccharomyces cerevisiae Gene Ontology Hydroxyurea Glucose Glycine Knowledge Bases Nucleotidyltransferases Chromosome Mapping Computational Biology Metabolic Networks and Pathways Neural Networks, Computer Multifactorial Inheritance Phenotype Systems Biology Copper Machine Learning Benomyl Genome-Wide Association Study Models, Genetic Mutation Polymorphism, Single Nucleotide
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