Imperial College London > Talks@ee.imperial > Control and Power Seminars > Personalized Chronic Disease Treatment

Personalized Chronic Disease Treatment

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A well know difficulty with chronic diseases is that they manifest themselves in different ways in different patients. This suggests that treatment should ideally be personalized to each individual. In turn, this suggests that treatment models need to be built, calibrated and adapted on an individual basis. This circle of ideas creates a bridge between medicine and control engineering. Specifically, control engineers have well established tools for calibrating and adapting models using real time data. This opens the door to personalised chronic disease treatment (PCDT). In this talk we will illustrate the concept of PCDT in the context of Type 1 diabetes. Specifically, we will show how individualized models can be built, calibrated and adapted to describe the impact of food, exercise and insulin infusion on blood glucose levels in type 1 diabetes sufferers. We will also argue that the availability of such models can be used as the basis for novel treatment options utilizing sophisticated control engineering tools. Specifically, we will show that scenario based rolling horizon stochastic dynamic programming offers exciting new possibilities for the regulation of blood glucose levels in type 1 diabetes patients.

This talk is part of the Control and Power Seminars series.

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