AIMC Topic: Food

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Detection of delta-9-tetrahydrocannabinol (THC) in oral fluid, blood and urine following oral consumption of low-content THC hemp oil.

Forensic science international Dec 24, 2017
Hemp-derivative (Cannabis sativa L.) food products containing trace levels of Δ-9-tetrahydrocannabinol (THC) are proposed for consumption in Australia and New Zealand; however, it is unclear whether use of these products will negatively affect existi...
Dronabinol Food Plant Oils Double-Blind Method Immunoassay Saliva Cross-Over Studies Cannabis Adult Humans Male Female Middle Aged Young Adult
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Exploring the Impact of Food on the Gut Ecosystem Based on the Combination of Machine Learning and Network Visualization.

Nutrients Dec 1, 2017
Prebiotics and probiotics strongly impact the gut ecosystem by changing the composition and/or metabolism of the microbiota to improve the health of the host. However, the composition of the microbiota constantly changes due to the intake of daily di...
Prebiotics Gastrointestinal Tract Food Ferns Probiotics Models, Biological Microbiota Humans Machine Learning Male
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NutriNet: A Deep Learning Food and Drink Image Recognition System for Dietary Assessment.

Nutrients Jun 27, 2017
Automatic food image recognition systems are alleviating the process of food-intake estimation and dietary assessment. However, due to the nature of food images, their recognition is a particularly challenging task, which is why traditional approache...
Machine Learning Algorithms Computer Simulation Neural Networks, Computer Mobile Applications Internet Beverages Food Nutrition Assessment Image Processing, Computer-Assisted Smartphone
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Artificial neural network based modeling to evaluate methane yield from biogas in a laboratory-scale anaerobic bioreactor.

Bioresource technology Mar 12, 2016
The performance of a laboratory-scale anaerobic bioreactor was investigated in the present study to determine methane (CH4) content in biogas yield from digestion of organic fraction of municipal solid waste (OFMSW). OFMSW consists of food waste, veg...
Waste Products Solid Waste Fatty Acids, Volatile Bioreactors Hydrogen-Ion Concentration Laboratories Biofuels Food Principal Component Analysis Anaerobiosis Methane Neural Networks, Computer Cities Organic Chemicals
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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...
Humans Neural Networks, Computer Female Aged Metabolic Networks and Pathways Folic Acid Disease Susceptibility Gene-Environment Interaction Diet Xenobiotics Case-Control Studies Food Computational Biology Epistasis, Genetic Adult Breast Neoplasms Middle Aged
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FoodWiki: Ontology-Driven Mobile Safe Food Consumption System.

TheScientificWorldJournal Jun 15, 2015
An ontology-driven safe food consumption mobile system is considered. Over 3,000 compounds are being added to processed food, with numerous effects on the food: to add color, stabilize, texturize, preserve, sweeten, thicken, add flavor, soften, emuls...
Food Motor Activity Basal Metabolism Algorithms Models, Theoretical Body Mass Index Software Programming Languages Semantics Food Additives Feeding Behavior Blood Pressure Internet Knowledge Bases
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DietCam: Multiview Food Recognition Using a Multikernel SVM.

IEEE journal of biomedical and health informatics Apr 2, 2015
Food recognition is a key component in evaluation of everyday food intakes, and its challenge is due to intraclass variation. In this paper, we present an automatic food classification method, DietCam, which specifically addresses the variation of fo...
Pattern Recognition, Automated Food Databases, Factual Image Processing, Computer-Assisted Support Vector Machine
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Review of Advanced Technologies and Circular Pathways for Food Waste Valorization.

Journal of agricultural and food chemistry Jul 2, 2025
Food waste (FW) valorization provides a sustainable solution to global waste challenges by enhancing resource efficiency and enabling a circular bioeconomy. This review highlights the need to shift from linear disposal to circular strategies and asse...
Food Waste Products Refuse Disposal Biofuels Food Loss and Waste
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LeFood-set: Baseline performance of predicting level of leftovers food dataset in a hospital using MT learning.

PloS one Jan 1, 2025
Monitoring the remaining food in patients' trays is a routine activity in healthcare facilities as it provides valuable insights into the patients' dietary intake. However, estimating food leftovers through visual observation is time-consuming and bi...
Humans Hospitals Deep Learning Indonesia Food
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Food Recommendation as Language Processing (F-RLP): A Personalized and Contextual Paradigm.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
State-of-the-art rule-based and classification-based food recommendation systems face significant challenges in becoming practical and useful. This difficulty arises primarily because most machine learning models struggle with problems characterized ...
Language Machine Learning Natural Language Processing Algorithms Food Humans
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