Intelligent Nutrition

The prevention of onset and progression of diet-related acute and chronic diseases (e.g., diabetes, obesity, kidney disease) requires reliable and intuitive systems able to translate food intake into nutrient intake. To this end, systems based on innovative technologies are introduced, exploiting the recent advances in the areas of artificial intelligence and smartphone technologies.

Towards this direction, we introduced the first fully operative system for calculating the carbohydrate content of meals for individuals with Type 1 Diabetes (T1D). The system was developed within the framework of the GoCARB project. GoCARB was validated in a clinical trial involving individuals with T1D under sensor-augmented pump therapy.

 

goFOODTM constitutes the optimized and extended version of calories and nutrient estimation to cover the needs of different groups of end-users, including health care professionals. Different pilots for hospitalized patients, the general population, people with diabetes, cardiovascular diseases, and obesity are available for dietary monitoring and assessment. Building on these developments, there is a growing need for holistic and personalized nutrition systems that integrate multiple sources of information beyond nutrient estimation alone. In this context, the Swiss Food Knowledge Graph (Swiss FKG) serves as a structured foundation that links food composition, dietary guidelines, and contextual information.

This research is currently supported in part by the Swiss Confederation - Swiss State Secretariat for Education, Research and Innovation (SERI)  within the BETTER4U (Grant 101080117) and the MELISSA (Grant 101057730) projects.


More information: https://go-food.tech.