AIMC Topic: Satiation

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Appetite ratings of foods are predictable with an in vitro advanced gastrointestinal model in combination with an in silico artificial neural network.

Food research international (Ottawa, Ont.) Mar 25, 2019
The expected increase of global obesity prevalence makes it necessary to have information about the effects of meal intakes on the feeling of appetite. Because human clinical studies are time and cost intensive, there is a need for a reliable alterna...
Humans Neural Networks, Computer Computer Simulation Equipment Design Models, Biological Gastrointestinal Tract Digestion Viscosity Food Meals Satiation Appetite
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Feed-forward neural network model for hunger and satiety related VAS score prediction.

Theoretical biology & medical modelling Jul 7, 2016
BACKGROUND: An artificial neural network approach was chosen to model the outcome of the complex signaling pathways in the gastro-intestinal tract and other peripheral organs that eventually produce the satiety feeling in the brain upon feeding.
Humans Neural Networks, Computer Models, Biological Administration, Oral Databases as Topic Stomach Peptide YY Ileum Satiation Visual Analog Scale Cholecystokinin Hunger
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The effects of a low-carbohydrate diet on appetite: A randomized controlled trial.

Nutrition, metabolism, and cardiovascular diseases : NMCD Dec 12, 2015
BACKGROUND AND AIMS: The relationship between dietary macronutrient composition and appetite is controversial. We examined the effects of a year-long low-carbohydrate diet compared to a low-fat diet on appetite-related hormones and self-reported chan...
Humans Biomarkers Female Aged Young Adult Adult Male Middle Aged Exercise Weight Loss Time Factors Treatment Outcome Obesity Ghrelin Peptide YY Appetite Regulation Counseling Diet, Carbohydrate-Restricted Diet, Fat-Restricted New Orleans Satiation
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