A Food Data-Nutrition Intelligence Framework to Support UK Food System Transformation
This review explores current opportunities and challenges across data, health metrics, nutrition science, digital technology and policy in the context of healthier food system transformation in the UK. Rapid advancements in digital technology and artificial intelligence has reshaped how food is produced, formulated, marketed, purchased and consumed, with vast quantities of data now generated across supply chains and retail environments. It has also shifted how individuals access, track and generate food and health information. Despite unprecedented data availability, fragmentation, diverging definitions, inconsistent health metrics and misaligned timelines across academic, policy, industry and technology limit effective and timely integration.
Authors
- Danielle McCarthy (ORCID: https://orcid.org/0000-0003-2017-3614)
- Lewis Wallis
Institutions
- Kyungwoon University (KR)
Publication Details
- Journal
- Proceedings of The Nutrition Society
- Published
- 2026-07-27
- DOI
- https://doi.org/10.1017/s0029665126105357
- Primary Topic
- Nutrition, Genetics, and Disease
- Type
- article
- Field-Weighted Citation Impact
- 0.00