Boris Kovatchev, PhD, a School of Medicine professor, adjunct professor at the School of Engineering and Applied Science, and the founding director of the UVA Center for Diabetes Technology has received a new NIH R01 grant for $3.4M in funding over five years to design and test a new class of Automated Insulin Delivery (AID) System algorithms called Adaptive Motif-Based Control (AMBC).
The AMBC uses innovative adaptation-to-profile process to modulate the UVA-AID individual parameters for a person, by learning from this person’s CGM and insulin delivery patterns, and from the patterns of others stored in population databases. Unlike any other AID algorithm, the AMBC will use both a person’s own history and the history of others, to forecast and adapt to metabolic disturbances. The AMBC is expected to be superior to current state-of-the-art AID systems in terms of glycemic outcomes and technology acceptance, and enable the transition from hybrid to full closed loop.
The co-principal investigator for this study is Sue A. Brown, MD, a professor in the Department of Medicine, Division of Endocrinology and Metabolism.
Read more about the School of Medicine’s Center for Diabetes Technology.