Scientists from Sechenov University have developed a new type of glucometer that allows you to measure the level of sugar and glycated hemoglobin in the blood without holes. The device uses Raman spectroscopy and machine learning for data analysis, according to Ekaterina Poliker, one of the development authors and head of the HemoTech AI initiative. He explained that the device works on the basis of optical technologies, including lenses, filters and a special photo matrix.

Poliker compared the operation of the device to a plasma TV, where pixels on the screen receive signals and convert them into images. In this case, the beam penetrates the skin, is reflected from the tissues and returns to filters that cut off unnecessary signals from water, fat and other substances. The remaining necessary signal is sent to the photomatrix, where artificial intelligence processes the data and calculates the glucose level.

The development is currently being tested in three laboratories, solely on blood samples taken from used tubes. The measurement error is approximately 8% for glucose and 5-6% for glycated hemoglobin. Scientists expect to complete testing within a few months and receive approval for clinical trials on humans.

Source: Ferra

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