Published July 20, 2025 | Version v1
Poster Open

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

Creators

  • 1. ROR icon University of Nottingham
  • 2. ROR icon Imperial College London

Description

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.

Files

ISMBECCB2025_CoDiet_poster_v1.pdf

Files (2.7 MB)

Name Size Download all
md5:4c63c60dbe75418010858aac62eb52d3
2.7 MB Preview Download

Additional details

Funding

European Commission
CoDiet - COMBATTING DIET RELATED NON-COMMUNICABLE DISEASE THROUGH ENHANCED SURVEILLANCE 101084642
UK Research and Innovation
COMBATTING DIET RELATED NON-COMMUNICABLE DISEASE THROUGH ENHANCED SURVEILLANCE 10102628
UK Research and Innovation
COMBATTING DIET RELATED NON-COMMUNICABLE DISEASE THROUGH ENHANCED SURVEILLANCE (CoDiet) 10060437