Text mining to automatically review literature for relationships between diet and non-communicable diseases

This poster, presented at ISMB/ECCB 2025, summarises the current technology-assisted literature triage developments from the CoDiet project. In the published literature, thousands of different biological entities have been shown to have a role in an individual’s response to food intake. We have developed bioinformatics and natural language processing tools to help researchers gather, interrogate and interpret the relationships between diet, non-communicable diseases and biological factors at the bibliomic scale.