AIMC Topic: Glucose

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mCNN-glucose: Identifying families of glucose transporters using a deep convolutional neural network based on multiple-scanning windows.

International journal of biological macromolecules Jan 4, 2025
Glucose transporters are essential carrier proteins that function on the phospholipid bilayer to facilitate glucose diffusion across cell membranes. The transporters play many physiological and pathological roles in addition to absorption and metabol...
Neural Networks, Computer Convolutional Neural Networks Glucose Glucose Transport Proteins, Facilitative Humans
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Artificial Intelligence in Diagnostics: Enhancing Urine Test Accuracy Using a Mobile Phone-Based Reading System.

Annals of laboratory medicine Dec 16, 2024
BACKGROUND: Urinalysis, an essential diagnostic tool, faces challenges in terms of standardization and accuracy. The use of artificial intelligence (AI) with mobile technology can potentially solve these challenges. Therefore, we investigated the eff...
Urinalysis Humans Sensitivity and Specificity Cell Phone Artificial Intelligence ROC Curve Nitrites Algorithms Smartphone Mobile Applications Area Under Curve Glucose
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Classification of glucose-level in deionized water using machine learning models and data pre-processing technique.

PloS one Dec 5, 2024
Accurate monitoring of glucose levels is essential in the field of diabetes detection and prevention to ensure appropriate treatment planning. Conventional blood glucose monitoring methods, although widely used, are intrusive and frequently result in...
Glucose Water Humans Spectrum Analysis, Raman Machine Learning Support Vector Machine Blood Glucose
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Convolutional neural network for colorimetric glucose detection using a smartphone and novel multilayer polyvinyl film microfluidic device.

Scientific reports Nov 17, 2024
Detecting glucose levels is crucial for diabetes patients as it enables timely and effective management, preventing complications and promoting overall health. In this endeavor, we have designed a novel, affordable point-of-care diagnostic device uti...
Humans Colorimetry Smartphone Glucose Glucose Oxidase Neural Networks, Computer Deep Learning Blood Glucose Polyvinyls Polymethyl Methacrylate Lab-On-A-Chip Devices
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Management of experimental workflows in robotic cultivation platforms.

SLAS technology Oct 30, 2024
In the last decades, robotic cultivation facilities combined with automated execution of workflows have drastically increased the speed of research in biotechnology. In this work, we present the design and deployment of a digital infrastructure for r...
Automation, Laboratory Escherichia coli Robotics Workflow Glucose
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Transition from sulfur autotrophic to mixotrophic denitrification: Performance with different carbon sources, microbial community and artificial neural network modeling.

Chemosphere Sep 30, 2024
To address the limitations inherent in both sulfur autotrophic denitrification (SAD) and heterotrophic denitrification (HD) processes, this study introduces a novel approach. Three carbon sources (glucose, methanol, and sodium acetate) were fed into ...
Autotrophic Processes Sodium Acetate Nitrates Heterotrophic Processes Sulfur Bioreactors Methanol Nitrogen Glucose Microbiota Denitrification Neural Networks, Computer Carbon
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Combining the probabilistic finite element model and artificial neural network to study nutrient levels in the human intervertebral discs.

Clinical biomechanics (Bristol, Avon) Sep 27, 2024
BACKGROUND: Diffusion distance and diffusivity are known to affect nutrient transport rates, but the probabilistic analysis of these two factors remains vacant. There is a lack of effective tools to evaluate disc nutrient levels.
Male Annulus Fibrosus Middle Aged Computer Simulation Models, Statistical Finite Element Analysis Models, Biological Female Intervertebral Disc Oxygen Nutrients Adult Nucleus Pulposus Humans Glucose Neural Networks, Computer
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Explainable machine learning-driven predictive performance and process parameter optimization for caproic acid production.

Bioresource technology Aug 19, 2024
In this study, four machine learning (ML) prediction models were developed to predict and optimize the production performance of caproic acid based on substrates, products, and process parameters. The XGBoost outperformed others, with a high R of 0.9...
Machine Learning Lactic Acid Algorithms Bioreactors Caproates Butyric Acid Glucose Fermentation
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Insertable Glucose Sensor Using a Compact and Cost-Effective Phosphorescence Lifetime Imager and Machine Learning.

ACS nano Aug 13, 2024
Optical continuous glucose monitoring (CGM) systems are emerging for personalized glucose management owing to their lower cost and prolonged durability compared to conventional electrochemical CGMs. Here, we report a computational CGM system, which i...
Machine Learning Blood Glucose Biosensing Techniques Luminescent Measurements Glucose Cost-Benefit Analysis Blood Glucose Self-Monitoring Humans
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Association between myosteatosis and impaired glucose metabolism: A deep learning whole-body magnetic resonance imaging population phenotyping approach.

Journal of cachexia, sarcopenia and muscle Jul 15, 2024
BACKGROUND: There is increasing evidence that myosteatosis, which is currently not assessed in clinical routine, plays an important role in risk estimation in individuals with impaired glucose metabolism, as it is associated with the progression of i...
Deep Learning Magnetic Resonance Imaging Muscle, Skeletal Adult Male Adipose Tissue Middle Aged Humans Retrospective Studies Glucose Phenotype Female Whole Body Imaging Aged
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