Healio: AI predicts glucose level changes in children with type 1 diabetes

By Sara Kellner

Researchers developed a tool that can collect daily data from insulin pumps and continuous glucose monitors and use AI to predict changes in glucose levels.

The tool can help providers monitor patients remotely and respond more quickly to changes that can increase children’s risk for diabetic ketoacidosis and hospitalization, according to a presentation at the AIMed24 Annual Meeting.

“If you look at continuous outcomes across pediatric to adult transition, we have young people who are having worse and worse glycemic outcomes,” Mark C. Clements, MD, PhD, CPI, FAAP, pediatric endocrinologist and professor of pediatrics at Children’s Mercy in Kansas City, Missouri said in a presentation. “The fact that kids are getting worse and worse from age 8 to 18 [years] is a real problem.”

In 2020, Clements and colleagues set out to solve this problem by founding the Rising T1DE Alliance to create AI-based solutions to these issues.

Read the full article via Healio

Division of Pediatric Endocrinology and Diabetes at Children's Mercy