With our current project we would like to predict the occurrence of hypo- and hyperglycemia in type 1 & type 2 diabetes patients, identify the causes and propose individual countermeasures. We would like 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.

Continuous glucose monitoring

Monitoring of the blood sugar level with the help of various continuous glucose monitoring systems.

Digital nutrition diaries

Documentation of meals via various digital nutrition diaries on the smartphone.

Measurement of activity parameters

Measurement of movement, sleep, heart rate and calorie consumption via wearables such as Activity Tracker and Smartwatches.

Psychological influences and stress

Stop wasting your time on inefficient routines and discover what works best for you.