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  <title><![CDATA[New AI-based tool helps clinicians understand and better predict adverse effects of COVID-19]]></title>
  <body><![CDATA[<p>Some Covid-19 patients are asymptomatic or experience a mild immune response, while others report significant long-term illnesses, lasting complications, or suffer fatal outcomes.&nbsp;Three Georgia Tech researchers are trying to help clinicians sort through these factors and spectrum of patient outcomes by equipping healthcare professionals with a new artificial intelligence-based&nbsp;&ldquo;decision prioritization tool.&rdquo; <a href="https://biosciences.gatech.edu/people/jeffrey-skolnick">Jeffrey Skolnick</a>, professor,&nbsp;Mary and Maisie Gibson Chair in the School of Biological Sciences;&nbsp;Ph.D. student <a href="https://bioinformatics.gatech.edu/people/Courtney-Astore">Courtney Astore</a>,&nbsp;and senior research scientist <a href="https://biosciences.gatech.edu/people/hongyi-zhou">Hongyi Zhou</a>, both from the <a href="http://cssb.biology.gatech.edu/index.html">Center for the Study of Systems Biology</a>, were involved in the research. The research was also covered in <a href="https://healthitanalytics.com/news/artificial-intelligence-capable-of-predicting-covid-19-symptoms">Health IT Analytics</a>.&nbsp;</p>
]]></body>
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      <url><![CDATA[https://biznewspost.com/health/new-ai-based-tool-helps-clinicians-understand-and-better-predict-adverse-effects-of-covid-19/]]></url>
      <title><![CDATA[]]></title>
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      <value><![CDATA[  ]]></value>
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  <field_dateline>
    <item>
      <value>2021-10-25</value>
      <timezone></timezone>
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          <item>1278</item>
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          <item><![CDATA[College of Sciences]]></item>
          <item><![CDATA[School of Biological Sciences]]></item>
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