Summary
This study investigated the effect of a six-week AI-based personalised nutrition programme on the gut microbiome of 29 healthy adults, using 16S rRNA sequencing alongside anthropometric and biochemical assessments. The research contributes to a growing body of evidence on the feasibility and efficacy of digital nutrition tools in modulating gut microbiota, with implications for dietary guidance and preventive health. As part of what appears to be a European collaborative project, the findings are likely to be relevant to the design of scalable, technology-assisted dietary interventions.
UK applicability
UK applicability is moderate; while the study was conducted across European sites and likely includes UK-based participants given the presence of UK-affiliated authors (Saskia Wilson-Barnes, Kathryn Hart from the University of Surrey), the findings on AI-assisted nutrition and gut microbiome responses are broadly relevant to UK public health and digital health policy contexts.
Key measures
Gut microbiome diversity and composition (16S rRNA amplicon sequencing); anthropometric measures (e.g. BMI, body weight); biochemical blood markers; dietary intake (food frequency questionnaire)
Outcomes reported
The study measured changes in gut microbiome composition (via 16S rRNA amplicon sequencing), anthropometric parameters, and biochemical blood markers in healthy adults following a six-week AI-based personalised nutrition intervention. It assessed whether an AI-driven mobile application could meaningfully shift gut microbial diversity and abundance in a health-promoting direction.
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