The effect that food has on blood glucose levels in people with Type 1 diabetes is well established. Less clear, however, is the role that stress, time of day, activity levels and other factors play in regulating blood glucose. To better understand these dynamics, UB researchers have launched a project that combines artificial intelligence (AI) with data gathered by continuous glucose monitoring tools. Ultimately, the goal is to better understand the relationship between insulin and blood glucosen, empowering people with Type 1 diabetes to better manage the condition and improve their quality of life. "We're developing new tools -- combining data collected from diabetes-monitoring tools with AI systems, as well as traditional time-series modeling approaches -- that could greatly improve how people manage their Type 1 diabetes," says the project's leader, Tarunraj Singh, professor of mechanical and aerospace engineering, School of Engineering and Applied Sciences.
Nov-9-2019, 12:31:28 GMT