Algorithm Advances Type 2 Diabetes Management
A new algorithm developed by the University of Virginia Center for Diabetes Technology can help users better manage their type 2 diabetes by recommending insulin-dose adjustments. The algorithm, paired with a continuous glucose monitor, was found to increase the average time spent in a safe blood-sugar range from 54.1% to 75.3% in a clinical trial.
Researchers at the University of Virginia Center for Diabetes Technology have developed an algorithm to help manage type 2 diabetes. The algorithm uses data from a continuous glucose monitor to recommend insulin-dose adjustments. In a clinical trial, 30 participants used the algorithm and saw their average time spent in a safe blood-sugar range increase from 54.1% to 75.3%. The algorithm analyzes the previous two weeks of data to generate a weekly recommendation. The researchers found that the algorithm was more effective than self-monitoring blood-sugar levels. The study's findings have been published in the scientific journal Diabetes Technology & Therapeutics. The researchers believe the algorithm has the potential to help physicians enable their patients to achieve better glycemic control faster.
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