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Researchers Are Using Algorithms to Tackle the Coronavirus Test Shortage : The Scramble to Develop New Test Kits That Deliver Faster Results
We're hearing about the problem daily: There aren't enough test kits available to accurately track the new Coronavirus. It's a global problem, although some countries-including the United States-are doing a worse job of testing than others. ¶ More testing, epidemiologists say, would give us a better understanding of how the virus is moving through the population and whether it's waxing or waning. And more testing is essential to allow us to safely return to any semblance of normal life. ¶ Part of the solution to the testing shortage, however, may come not from making more kits but from algorithms. Computer scientists and engineers who study ways to compress data, decode video, and process medical images say that biological samples from groups of people could be pooled for testing, and the results decoded by cleverly designed algorithms. This sample pooling could go a long way toward addressing the test-kit shortage, with one test kit being able to determine the health status of 5, 10, or even more people.¶ I spoke with Dror Baron, associate professor of electrical and computer engineering at North Carolina State University and an IEEE Senior Member, about his work developing algorithms for this kind of coronavirus test processing.
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