FoodAtlas: Automated knowledge extraction of food and chemicals from literature

Structure-property machine learning models with predictive capabilities for glycans in food

Machine learning models to predict micronutrient profile in food after processing

Ontological how and why: action and objective of planned processes in the food domain

Moral Mimicry: Large Language Models Produce Moral Rationalizations Tailored to Political Identity

Using word embeddings to learn a better food ontology

Nutrient Estimation from 24-Hour Food Recalls Using Machine Learning and Database Mapping: A Case Study with Lactose