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Description
AI has the potential to enable consumers to learn the health effects of their food far beyond what is available on a Nutrition Facts Label. The long-term goal of this project is to empower users to know what they eat, and what it does to their health. To achieve that, we will (a) develop a “food photo to ingredients” module and a “ingredients to health outcome” module, each of which will be needed in most computational systems in nutrition. This project will be developed in close collaboration with the Dietary Assistant project, and they will both integrate in a cellphone application that will be created this year. The app will be deployed in a clinical trial in the following year to measure the impact of AI-enabled consumer education on consumer dietary quality.
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Team

Danielle Lemay
Principal Investigator

Hamed Pirsiavash
Co Principal Investigator

Jennifer Smilowitz
Co Principal Investigator

Ilias Tagkopoulos
Co Principal Investigator
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Publications

Dietary Intake of Monosaccharides From Foods Is Associated with Characteristics of the Gut Microbiota and Gastrointestinal Inflammation in Healthy US Adults
