Digital Diabetes
This research area focuses on the potential role that innovations such as smart data, artificial intelligence, algorithms, and block chain could play in diabetes technology.
This research area is dedicated to the role of smart data and artificial intelligence (AI), feedback systems such as learning algorithms, machine learning, block chain technology, etc., including artificial pancreas (fully closed loops, hybrid loops, etc.). The networking of input signals to generate biological real-time assessments is central. In addition, algorithms and AI approaches are also used in related areas.
Projects in this focus area
Hypoxanthine Project
Exploring Microbial Metabolites and Immune ActivationUnveiling the Role of Hypoxanthine in Dendritic Cell FunctionThe...
Wound Infection Project
Understanding Immune Dysregulation in Obesity and DiabetesObesity and diabetes, which are both rapidly increasing in...
The Moonwalk Project
Investigating the relationship between glucose values and motion patterns during sleepGlucose Levels and Sleep...
DCB Research AG
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Switzerland