What we do
With our current project we want to predict the occurrence of hypo- and hyperglycaemia in type 1 & type 2 diabetes patients, identify the causes and propose individual countermeasures. We want to develop an application for physicians and patients that combines data from blood glucose sensors, nutrition diaries and wearables such as smartwatches and activity trackers. Machine learning algorithms enable us to propose individual measures for disease improvement. Through this project we want to improve the quality of life and long-term risk of diabetes patients.