Researchers have developed a small non-invasive device by combining radar and artificial intelligence (AI) technologies that would help people with diabetes to monitor their blood sugar levels without the need for painful finger pricks several times a day.
“We want to sense blood inside the body without actually having to sample any fluid,” said lead author George Shaker, a professor at the University of Waterloo in Canada.
Information on the reflected waves is then converted into digital data for analysis by machine-learning AI algorithms developed by the researchers.
The software is capable of detecting glucose changes based on more than 500 wave features or characteristics, including how long it takes for them to bounce back to the device.
Initial tests with volunteers achieved results that were 85 percent as accurate as traditional, invasive blood analysis.
Next steps include refining the system to precisely quantify glucose levels and obtain results through the skin, which complicates the process.
Researchers are also working to shrink the radar device so that it is both low-cost and low-power.
The data analyzed by AI algorithms is now sent wirelessly to computers, but the ultimate aim is self-contained technology similar to the smartwatches that monitor heart rate.