DiaGame – Serious and personalized game for self-management of diabetes

Funded by NWO Data2Person and HRH Diabetes Games

The project

The science

The DiaGame project applies the sciences of data learning and biomedical simulations to an existing serious diabetes gaming platform (SugarVita). We aim to make the current SugarVita a data-driven, personalized serious game (SugarVita-P4) that empowers individuals with diabetes to manage the disease they are facing.

In order to personalize the game, we integrate our expertise on processing of personal data collected from health-related smartphone apps (GameBus) into our game platform. The information that this approach yields will be used to personalize the simulation model that drives the game, hereby creating a ‘metabolic digital twin‘.

Relevance for the patient

The digital twin together with patient-gathered health data will make the diabetes game a realistic representation of the condition of the patient who plays the game.

This allows the gamer to play SugerVita-P4 using personal settings and goals for improved educational value. For people with diabetes, knowledge and skill is key to effectively self-manage their condition. Through the DiaGame project we expect to gather scientific results to support the notion that playing SugarVita-P4 creates reward and motivation and is therefore more effective for empowerment than current approaches.

Relevance for society

We integrate the development of the game and the encompassing academic activities into the daily practice in diabetes care. We employ a development process that iteratively uses in-game observations to improve the approach for data-to-information-to-education flow.
Collectively, DiaGame can change the approach to diabetes care by using data sciences, artificial intelligence and simulation models in support of a personalized diabetes game. Ultimately, this will improve the quality of life for patients and lighten the socio-economic and medical burden that diabetes has.


SugarVita is a digital game to support self-education of patients with diabetes. The ‘engine’ of the game is the Eindhoven Diabetes Education Simulator (eDES), a scientifically validated computational model of glucose metabolism and physiology.

The team


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