NeuTigers Brings Edge Computing to COVID Detection

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ARTICLE SUMMARY:

NeuTigers’ miniaturized neural networks allow wearable point-of-care devices like wristwatches to collect and analyze data on the spot. The first application among many possible is a new screening method for COVID-19 infection.

It’s not unusual these days to see employees lined up in the lobby of their office building to have their temperature taken, one of the CDC’s recommended strategies for slowing the spread of the COVID-19 virus. But frankly, as a method of saying who has it and who doesn’t, a coin flip is probably just as accurate. Notes Gregory Nicola, MD, chief medical officer of medical artificial intelligence start-up NeuTigers Inc., “There is no scientific basis for thermal checks in a building,” and besides, the company’s research has shown that on-site temperature measurements are inaccurate for this purpose more than 50% of the time. The founders of NeuTigers believe they offer a much more accurate COVID screen in a wristwatch that uses neural networks to analyze many physiological parameters collected from the devices.

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