Researchers and physicians at Oregon Health & Science University, using artificial intelligence and automated monitoring, have designed a method to help people with type 1 diabetes better manage their glucose levels.
The research was published in the journal Nature Metabolism.
“Our system design is unique,” said lead author Nichole Tyler, an M.D.-Ph.D. student in the OHSU School of Medicine. “We designed the AI algorithm entirely using a mathematical simulator, and yet when the algorithm was validated on real-world data from people with type 1 diabetes at OHSU, it generated recommendations that were highly similar to recommendations from endocrinologists.”
That’s significant because the people with diabetes typically go three to six months between appointments with their endocrinologist.
In that time, they can be at risk of dangerous complications if glucose levels in their blood rise too high or fall too low. People with type 1 diabetes do not produce their own insulin, so they must take it continuously through the day using an insulin pump or through multiple daily injections. The algorithm developed by OHSU scientists uses data collected from a continuous glucose monitor and wireless insulin pens to provide guidance on adjustments.
Paired with a smart phone app called DailyDose, the recommendations from the algorithm were shown to be in agreement with physicians 67.9% of the time.
The new study involved monitoring 16 people with type 1 diabetes over the course of four weeks, showing that the model can help reduce hypoglycemia, or low glucose. If left untreated, hypoglycemia can cause coma or death.
The engine was developed in a collaboration between the OHSU Harold Schnitzer Diabetes Health Center and the Artificial Intelligence for Medical Systems Lab led by Peter Jacobs, Ph.D., associate professor of biomedical engineering in the OHSU School of Medicine.