In a recent study Viktor Skantze and co-authors utilized experimental data combined with mathematical modelling to show that individuals with an elevated risk of type 2 diabetes respond differently to the same meal. The analysis led to a division of individuals into two groups one of which showed distinctly poorer blood sugar response – and may therefore need tailored dietary advice.

This is one of an increasing number of results in the area of personalized nutrition and outcome of a joint effort between Fraunhofer-Chalmers Centre and division of Food and Nutrition Science at Chalmers University of Technology initialized four years ago around a so-called research institute doctoral student. The project, partly funded by the Swedish Foundation of Strategic Research, was termed mathematical modelling for personalized nutrition and leverage on the long-time experience of Prof Rikard Landberg’s group at Chalmers and the accumulated experience of modelling and simulation for biomedical applications and in life science developed over the years at the department of Systems and Data Analysis at Fraunhofer-Chalmers Centre.


External link:

Read the study:
Differential Responders to a Mixed Meal Tolerance Test Associated with Type 2 Diabetes Risk Factors and Gut Microbiota—Data from the MEDGI-Carb Randomized Controlled Trial.