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Engineering new weapons in the fight against juvenile diabetes
Date:6/6/2011

ns for users to input their carbohydrate intake. Bequette said this should greatly boost the accuracy, reliability, and predictive capability of the device. Importantly, the device will still function if users forget to input their meal information.

At the heart of this closed-loop artificial pancreas are Bequette's carefully engineered algorithms. The sophisticated computer code makes predictions based on data inputs, including blood glucose levels and eaten carbohydrates. Bequette employs model predictive control and state estimation techniques, which he used in his research in controlling traditional chemical processes, such as oil refining. These methods are able to extract more meaningful, predictive data from blood glucose monitoring, and other critical aspects of the artificial pancreas.


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Contact: Michael Mullaney
mullam@rpi.edu
518-276-6161
Rensselaer Polytechnic Institute
Source:Eurekalert

Page: 1 2 3

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