AIMC Topic: Nutrients

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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.
Models, Statistical Oxygen Glucose Male Middle Aged Intervertebral Disc Nucleus Pulposus Annulus Fibrosus Models, Biological Nutrients Finite Element Analysis Humans Neural Networks, Computer Computer Simulation Female Adult
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Using VIS-NIR hyperspectral imaging and deep learning for non-destructive high-throughput quantification and visualization of nutrients in wheat grains.

Food chemistry Jul 29, 2024
High-throughput and low-cost quantification of the nutrient content in crop grains is crucial for food processing and nutritional research. However, traditional methods are time-consuming and destructive. A high-throughput and low-cost method of quan...
Edible Grain Nutrients Nutritive Value High-Throughput Screening Assays Hyperspectral Imaging Spectroscopy, Near-Infrared Deep Learning Seeds Triticum
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Quantifying massively parallel microbial growth with spatially mediated interactions.

PLoS computational biology Jul 22, 2024
Quantitative understanding of microbial growth is an essential prerequisite for successful control of pathogens as well as various biotechnology applications. Even though the growth of cell populations has been extensively studied, microbial growth r...
Machine Learning Computational Biology Models, Biological Nutrients
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Can the AI tools ChatGPT and Bard generate energy, macro- and micro-nutrient sufficient meal plans for different dietary patterns?

Nutrition research (New York, N.Y.) Jul 14, 2024
Artificial intelligence chatbots based on large language models have recently emerged as an alternative to traditional online searches and are also entering the nutrition space. In this study, we wanted to investigate whether the artificial intellige...
Dietary Supplements Nutrients Nutritive Value Artificial Intelligence Energy Intake Meals Dietary Carbohydrates Recommended Dietary Allowances Humans
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A critical systematic review on spectral-based soil nutrient prediction using machine learning.

Environmental monitoring and assessment Jul 4, 2024
The United Nations (UN) emphasizes the pivotal role of sustainable agriculture in addressing persistent starvation and working towards zero hunger by 2030 through global development. Intensive agricultural practices have adversely impacted soil quali...
Nutrients Soil Machine Learning Agriculture Environmental Monitoring
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Machine learning in soil nutrient dynamics of alpine grasslands.

The Science of the total environment Jun 25, 2024
As a terrestrial ecosystem, alpine grasslands feature diverse vegetation types and play key roles in regulating water resources and carbon storage, thus shaping global climate. The dynamics of soil nutrients in this ecosystem, responding to regional ...
Ecosystem Grassland Environmental Monitoring Nitrogen Nutrients Phosphorus Climate Change Machine Learning Soil
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Machine Learning Identification of Nutrient Intake Variations across Age Groups in Metabolic Syndrome and Healthy Populations.

Nutrients May 28, 2024
This study undertakes a comprehensive examination of the intricate link between diet nutrition, age, and metabolic syndrome (MetS), utilizing advanced artificial intelligence methodologies. Data from the National Health and Nutrition Examination Surv...
Diet Adolescent Child Humans Theobromine Nutrition Surveys Machine Learning Age Factors Adult Nutrients Female Aged Metabolic Syndrome Male Young Adult Proportional Hazards Models Middle Aged
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Build Deep Neural Network Models to Detect Common Edible Nuts from Photos and Estimate Nutrient Portfolio.

Nutrients Apr 26, 2024
Nuts are nutrient-dense foods and can be incorporated into a healthy diet. Artificial intelligence-powered diet-tracking apps may promote nut consumption by providing real-time, accurate nutrition information but depend on data and model availability...
Neural Networks, Computer Deep Learning Nuts Humans Nutrients Nutritive Value Photography
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Effluent parameters prediction of a biological nutrient removal (BNR) process using different machine learning methods: A case study.

Journal of environmental management Dec 30, 2023
This paper proposes a novel targeted blend of machine learning (ML) based approaches for controlling wastewater treatment plant (WWTP) operation by predicting distributions of key effluent parameters of a biological nutrient removal (BNR) process. Tw...
Nutrients Machine Learning Algorithms Support Vector Machine
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AI dietician: Unveiling the accuracy of ChatGPT's nutritional estimations.

Nutrition (Burbank, Los Angeles County, Calif.) Dec 12, 2023
We investigate the accuracy and reliability of ChatGPT, an artificial intelligence model developed by OpenAI, in providing nutritional information for dietary planning and weight management. The results have a reasonable level of accuracy, with energ...
Meals Nutritionists Reproducibility of Results United States Humans Artificial Intelligence Nutrients
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