ClinicalTrials.gov - Providing Personally Tailored Dietary Suggestions Using Individual Microbiome and Glycemic Index Response

Combining the facets of postprandial glycemic response with food intake gut microbiome composition the DayTwo Machine Learning algorithm gathered personalized nutrition insights. 

Study start date - 2016, End Feb 2018

Cohort size = 327 participant

Sponsor = Mayo Clinic

Source: 

https://clinicaltrials.gov/ct2/show/NCT02945514?id=NCT02945514&draw=2&rank=1&load=cart

"Concepts and procedures for mapping food and health research infrastructure: New insights from the EuroDISH project"

Source:  https://www.sciencedirect.com/science/article/abs/pii/S0924224415301825

Abstract Highlights:
"

• Identifying and classifying research infrastructure is challenging.
• Research infrastructure is dynamic and constantly developing.
• Food and health research is a highly multi-disciplinary scientific domain.
• Research infrastructure relevant to food and health remains fragmented and disparate.
• There is a lack of infrastructure to facilitate research on both food and health."

Related: 

• EuroDISH - http://www.eurodish.eu/