A neural network can help spot Covid-19 in chest x-rays

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COVID-Net could help scientists develop an AI tool that can pick up telltale signs.

The news: An open-access neural network called COVID-Net, released to the public this week, could help researchers around the world in a joint effort to develop an AI tool that can test people for Covid-19.

What is it? COVID-Net is a convolutional neural network, a type of AI that is particularly good at recognizing images. Developed by Linda Wang and Alexander Wong at the University of Waterloo and the AI firm DarwinAI in Canada, COVID-Net was trained to identify signs of Covid-19 in chest x-rays using 5,941 images taken from 2,839 patients with various lung conditions, including bacterial infections, non-Covid viral infections, and Covid-19. The data set is being provided alongside the tool so that researchers—or anyone who wants to tinker—can explore and tweak it.

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When trees die so do people

When the U.S. Forest Service looked at mortality rates in counties affected by the emerald ash borer, they found increased mortality rates among people.

In June 2002 was when the blight was first detected in the trees in Canton, Michigan.  The emerald ash borer had come from overseas and was quickly spreading – a literal bug – across state and national lines to Ohio, Minnesota, and Ontario.  It spread to more distant and seemingly random locations as the infested trees were shipped beyond the Midwest.

 

 

 

Continue reading… “When trees die so do people”

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