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We work with academic partners on grant-funded research and joint publications.
AI-driven prediction of consumer liking of coffee from sensory data
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Publications
Peer-reviewed research from the PIPA team.
Our commercial platforms rest on published science. Here's a selection of recent peer-reviewed papers from PIPA researchers and collaborators — covering AI methods, food systems, nutrition, and digital twins.
A unified knowledge graph linking foodomics to chemical-disease networks and flavor profiles
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A systematic review of data and models for predicting food flavor and texture
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FoodAtlas: Automated knowledge extraction of food and chemicals from literature
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Machine learning models to predict micronutrient profile in food after processing
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Semi-automated construction of food composition knowledge base
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Full publication list
This is a selection from our recent work. For a complete list of publications from PIPA researchers, including earlier papers, please contact us via the research partnerships channel.