AIMC Journal:
The Proceedings of the Nutrition Society

Showing 1 to 3 of 3 articles

A Food Data-Nutrition Intelligence Framework to Support UK Food System Transformation.

The Proceedings of the Nutrition Society
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 art...

Good practices and common pitfalls of machine learning in nutrition research.

The Proceedings of the Nutrition Society
Machine learning is increasingly being utilised across various domains of nutrition research due to its ability to analyse complex data, especially as large datasets become more readily available. However, at times, this enthusiasm has led to the ado...

Novel study designs and modelling approaches in nutrition research: application of advanced statistical modelling approaches and N-of-1 study designs.

The Proceedings of the Nutrition Society
Randomised controlled trials are the 'gold standard' approach in nutrition research to show a causal relationship between a dietary intervention and clinically relevant outcomes at the population level. Here we review why different study designs are ...