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  <created>1635536124</created>
  <changed>1635536124</changed>
  <title><![CDATA[Ensemble-based machine learning algorithms accurately predict the response of cancer drugs]]></title>
  <body><![CDATA[<p>A team of Georgia Tech researchers led by <a href="https://biosciences.gatech.edu/people/john-mcdonald">John F. McDonald</a>, professor in the <a href="https://biosciences.gatech.edu">School of Biological Sciences</a>, and colleagues from&nbsp;the <a href="https://ovariancancerinstitute.org">Ovarian Cancer Institute </a>are using ensemble-based machine learning algorithms to predict with high accuracy how patients will respond to cancer-fighting drugs. The results of their recent research&nbsp;were published in the <a href="https://escires.com/articles/JOR-4-111.pdf">Journal of Oncology Research</a>.&nbsp;The researchers found an overall predictive accuracy of 91%. (This research was also covered in <a href="https://www.news-medical.net/news/20211027/Ensemble-based-machine-learning-algorithms-accurately-predict-anti-cancer-drug-responses.aspx">News-Medical.net</a>.)</p>
]]></body>
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      <url><![CDATA[https://newsbeezer.com/singapore/ensemble-based-machine-learning-algorithms-accurately-predict-the-response-of-cancer-drugs/]]></url>
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      <value><![CDATA[  ]]></value>
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  <field_dateline>
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      <value>2021-10-28</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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