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The objective of this proposal is to develop a novel methodology for glucose prediction that incorporate "big data" methods into the prediction algorithms to effectively increase the glucose prediction horizon for up to four hours and demonstrate that these new prediction methods can be successfully incorporated in modern closed-loop artificial pancreas systems.University of Virginia is a recipient of JDRF's research grant — [Identification of Areas of Artificial Pancreas Algorithm Enhancements Through Big-Data Analysis](http://grantcenter.jdrf.org/rfa/identification-of-areas-of-artificial-pancreas-algorithm-enhancements-through-big-data-analysis-part-1/ "Identification of Areas of Artificial Pancreas Algorithm Enhancements Through Big-Data Analysis") — supported by Tidepool Big Data Donation Project.