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

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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

19

Citations

31

References

2019

Year

Susann Bellmann, Shaji Krishnan, Albert J. de Graaf, Rianne A. de Ligt, Wilrike J. Pasman, Mans Minekus, R. Havenaar

Food Research International

AppetiteNutritionAppetite ControlGastroenterologyPersonalized NutritionHuman Ingestive BehaviorGastrointestinal ModelFoodomicsPublic HealthAppetite Ratings

References

	Year	Citations

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