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Tidepool and Oregon Health & Science University (OHSU) are collaborating to develop new automated insulin delivery systems and decision support systems for use in helping people with type 1 diabetes better control their glucose levels. A group of faculty and students in the Artificial Intelligence for Medical Systems (AIMS) lab within the Biomedical Engineering Department at OHSU is using the Tidepool data sets to design, develop, and evaluate new machine learning and signal processing algorithms that may ultimately be integrated into the OHSU artificial pancreas and the OHSU smart-phone based decision support tools currently under development.— Oregon Health & Science University is also a recepient 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.With this grant, we will make use of the Tidepool Big Data Donation Dataset to develop a suite of artificial intelligence tools and algorithms that will be used to enhance the performance of current AP algorithms. We will develop a new tool suite called the Artificial-Intelligent Pancreas (AI-Pancreas) that will be targeted specifically towards adaptation and personalization of control algorithms that can learn the physiology, behavior, and lifestyles of individuals with T1D, and optimally control their glucose based on these learned patterns.