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AI-defined COVID-19 testing strategy could lead to fewer infections A new algorithm developed by researchers at the College of Information Sciences and Technology could help leaders of governments and organizations make better informed decisions on how many symptomatic and asymptomatic individuals to test for COVID-19 with a limited supply of daily tests, and at what stage of the pandemic. Image: Adobe Stock: Giovanni Cancemi AI-defined COVID-19 testing strategy could lead to fewer infections January 21, 2021 UNIVERSITY PARK, Pa. When the novel coronavirus pandemic spread across the globe, governments and institutions worldwide faced hard decisions about who to test for the virus and when with limited testing supplies. ....
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Date Time AI-defined COVID-19 testing strategy could lead to fewer infections A new algorithm developed by researchers at the College of Information Sciences and Technology could help leaders of governments and organizations make better informed decisions on how many symptomatic and asymptomatic individuals to test for COVID-19 with a limited supply of daily tests, and at what stage of the pandemic. Image: Adobe Stock: Giovanni Cancemi When the novel coronavirus pandemic spread across the globe, governments and institutions worldwide faced hard decisions about who to test for the virus – and when – with limited testing supplies. Now, a new algorithm developed by researchers at Penn State’s College of Information Sciences and Technology could help leaders make better informed decisions on how many symptomatic and asymptomatic individuals to test with rationed daily tests, and at what stage of the pandemic. The model’s simulated testing strategies resulte ....