Bio Conscious has completed an in-house study demonstrating that its Diabits app is capable of predicting blood glucose levels 60 minutes into the future, an improvement on industry-leading continuous glucose monitoring companies that offer only 20-minute predictions
Diabits is an artificial intelligence-powered diabetes management app for people with type I and type II diabetes who use a CGM to monitor their daily blood sugar fluctuations.
“The ability to accurately predict glucose levels with the Diabits app helps users improve blood sugar management by increasing the time that they have to react. This enables proactive management of highs and lows to help them stay within a healthy glucose range for a longer time during the day and ultimately keep them healthier,” said Amir Hayeri, CEO of Bio Conscious. “Additionally this information could be transmitted to a pump or a smart insulin pen to calculate the precise amount of insulin needed and the optimal time for injection. This can further minimize fluctuations and excursions beyond recommended glucose range.”
Maintaining daily blood sugar is imperative to maintaining the strength of the immune system. Data out of Italy showed that 35.5% of those who died from COVID-19 had Diabetes. The International Diabetes Federation reported that when people with diabetes develop a viral infection, it can be harder to treat due to fluctuations in blood glucose levels.
The study used the FDA-approved Padova simulator provided by the Epsilon Group. The study included 30 virtual patients, and measured the predictive accuracy of the Diabits algorithm. Each virtual patient was entirely unique, and represented a possible profile of a real Diabits user’s glucose metabolism.
Two different blood sugar prediction models were trained and tested for each patient. The first model, Production, is the algorithm which is used in Diabits today. The second model, ICE, is a more advanced version of Production which puts a more substantial weight on food, insulin, and exercise information. The results of the simulation showed that in general while the Production model is highly accurate, the ICE model will slightly outperform the Production model in most cases.
As a result of this study, the ICE model was implemented into Diabits. Today, if a user inputs food or insulin information, the ICE model will be automatically selected and used for that user’s predictions. If a user does not input this additional information, the Production model is automatically selected.
Bio Conscious will be releasing more detailed study results and data during the 80th Scientific Sessions: A Virtual Experience, hosted by the American Diabetes Association which begins on Friday, June 12 at 11:30 A.M. CT.