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Researchers at the University of Virginia Center for Diabetes Technology report that an algorithm paired with a continuous glucose monitor (CGM) markedly improved glycaemic control in people with type 2 diabetes in a 16âweek randomized trial.
Thirty participants were assigned to weekly insulinâdose recommendations generated by the algorithm using the prior two weeks of CGM data, or to standard selfâmonitoring.
Time in target glucose range rose from 54.1% to 75.3% in the algorithm group versus 50.2% to 55.3% in the selfâmonitoring group.
The study, published in Diabetes Technology & Therapeutics, tested algorithmic titration for early onceâdaily insulin therapy (insulin degludec, with or without other glucoseâlowering drugs) and was supported by a Novo Nordisk grant.
Authors say the approach could streamline insulin titration and deliver personalized dosing advice as CGMs and connected devices become more widespread.
The investigators caution that larger and longer trials across diverse populations are needed to confirm safety, generalisability and longâterm benefits.
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Medical News | Medical ArticlesAlgorithm-guided insulin dosing improves blood sugar control in type 2 diabetes








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