Insulin algorithm type 1 diabetes

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Researchers from the University of Missouri School of Insulin algorithm type 1 diabetes and the Massachusetts Institute of Technology recently evaluated the accuracy of an MIT-developed technology to monitor blood glucose levels without needles or a finger prick. Early results tabletták kezelésére hasnyálmirigy cukorbetegség that the noninvasive technology measures blood glucose levels as effectively as a finger prick test—without drawing blood.

The study, "Evaluation of accuracy dependence of Raman spectroscopic models on the ratio of calibration and validation points for non-invasive glucose sensing," measured the blood glucose levels of 20 healthy, non-diabetic adults prior to drinking a glucose-rich beverage.

Device Uses Laser Technology to Detect Glucose Levels Under the Skin

Blood glucose levels were then measured in intervals over the next minutes using three methods: spectroscopy, IV blood test, and finger prick. The tests are designed to determine how much glucose remains in the blood and if a patient's insulin-regulating mechanisms are working effectively.

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The researchers found that spectroscopy predicted glucose values as accurately as a finger prick test. The approach we studied is noninvasive and uses a laser to monitor glucose levels in the skin," said Anandhi Upendran, Ph. A fiber optic cable attached to a wristband passes laser light onto the skin to detect different components in the skin, such as fat tissue, protein, collagen and glucose molecules.

The shifts in wavelengths associated with glucose present in the blood create a sort of molecular fingerprint that can be used to determine glucose levels.

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The gold standard is intravenous blood testing, but frequent blood draws may not be an option for many patients. We were pleased to find that our initial results show Raman spectroscopy can measure glucose levels that are comparable to the finger stick devices.

We hope that we can refine this method to be a noninvasive continuous glucose monitoring sensor.

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Future studies will examine the accuracy of the technology in patients with diabetes. Find more information on the study here.

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