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Portrait of Gabriel Simmons
Graduate Student Researcher

Gabriel Simmons

Graduate Student Researcher

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Project Involvement

Year 1

Predicting Health Effects from Food Composition via Large-Scale Information Extraction

Efforts to expand food composition information, exemplified by FoodDB, encounter challenges of manual curation and the presence of "nutritional dark matter," prompting a proposed solution involving the creation of a software package for automated curation of nutrition data from papers.

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#Core AI Technologies#Nutrition
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AIFS Publications

  • A thumbnail of the journal or conference cover of FoodAtlas: Automated knowledge extraction of food and chemicals from literature
    Journal Article ⏐ Computers in Biology and Medicine 2024Journal Article ⏐ Comput. Biol. Med. 2024
    Publication page for FoodAtlas: Automated knowledge extraction of food and chemicals from literature

    FoodAtlas: Automated Knowledge Extraction of Food and Chemicals From Literature

    Youn, Jason,Fangzhou Li,Gabriel Simmons,Shanghyeon Kim,and Ilias Tagkopoulos
    DOI: https://doi.org/10.1016/j.compbiomed.2024.109072
    Publication page for FoodAtlas: Automated knowledge extraction of food and chemicals from literature

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AI Institute for Next Generation Food Systems (AIFS) is supported by the United States Department of Agriculture – National Institute of Food and Agriculture and award #2020-67021-32855 in collaboration with the National Science Foundation. AIFS manages the AI Institutes Virtual Organization (AIVO) under grants 2231251, and 2332864, 2437003, and 2528968 from the National Science Foundation, as well as a Google.org grant.

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aifs@ucdavis.edu

530-760-9739

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