UCSD

The Diabetes Management Integrated Technology Research Initiative (DMITRI) pilot study was an intensive real-world physiologic monitoring effort. Seventeen people with type 1 diabetes used insulin pumps, CGMs, and other sensors and monitors for heart rate, physical activity, sleep, and more, for three or four days. They also photographed their meals and snacks for annotation by our dietician collaborators. The resulting datasets paint detailed personalized pictures of diabetes physiology under real-world conditions including a variety of different kinds of exercise. In partnership with the Predictive Analytics Center of Excellence (PACE) at UCSD, we are evaluating these datasets for training blood glucose forecasting algorithms... DIAL focuses on translating diabetes data into information, knowledge, and action. This involves research in informatics, data mining, visualization, modeling, and good old-fashioned stats... The DIAL team includes scientists, engineers, hackers,..