The UiT Machine Learning Group is heading a interdisciplinary project that aims at developing control algorithms for automated type 1 diabetes management. The goal of our research is to use ideas from artificial intelligence to improve the daily lives of people that are living with type 1 diabetes. Interested readers can read more about the project here.
Type 1 diabetes is characterized by the lack of insulin-producing beta cells in the pancreas. The artificial pancreas promises to alleviate the burdens of self-management. While the physical components of the system – the continuous glucose monitor and insulin pump – have experienced rapid advances, a technological bottleneck remains in the control algorithm, which is responsible for translating data from the former into instructions for the latter.
At the heart of state-of-the-art artificial intelligence research lies Reinforcement Learning — the study of how to learn from unknown environments. RL is particularly suited in situations where:
All of these features are certainly present in the type 1 diabetes controller challenge