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  <title><![CDATA[Biomedical Engineering Seminar]]></title>
  <body><![CDATA[<p><strong>“Towards Systems-Level Understanding of Immune Cell-Cell Communication and Inflammatory Tissue Environments: Applications in HIV”&nbsp; </strong></p><p><strong><strong><br /></strong></strong></p><p><strong><strong>Kelly Arnold, Ph.D.*</strong><strong><br /> </strong><strong>Postdoctoral Fellow</strong><strong><br /> </strong><strong>Department of Biomedical Engineering<br /> Massachusetts Institute of Technology</strong></strong></p><p>&nbsp;</p><p>Seminar&nbsp;will be made available via videoconference in the Health Sciences Research Building, room E 182 and Technology Enterprise Park, room 104, also on your computer at <a href="http://vidyo.bme.gatech.edu">http://vidyo.bme.gatech.edu</a>.</p><p>&nbsp;</p><p>Complex networks of immune cell interactions play a pivotal role in infectious disease, wound healing, autoimmune disease, drug toxicity, cardiovascular disease, and success of regenerative medicine endeavors.&nbsp; Our current understanding of immune function is largely limited to individual cell types, generally lacking contextual considerations of the broader network of cell-cell interactions in tissues that collectively drive physiological behavior.&nbsp; Our inability to combat HIV and other complex emerging pathogens with traditional single-target approaches highlight our limited understanding of immune function and motivate shifting from the current univariate paradigm to a multivariate “many components at once”, or systems concept for design of new strategies based on systems-level properties of immune function.&nbsp; We employ an integrative approach based on models and measurements made from systems of human cells and tissues to gain new insight into immune cell-cell interaction networks in tissue environments.&nbsp; Specifically, we have used data-driven modeling approaches to reveal novel multivariate cellular and molecular immune response relationships driving immune function in HIV,&nbsp; including 1) alterations in cytokine communication networks of HIV-infected individuals that are independent of CD4+ T cell depletion;&nbsp; 2) complex tissue environments associated with HIV susceptibility in the female genital tract; and 3) multivariate cytokine profiles that promote production of neutralizing antibodies.&nbsp; We believe these approaches can be easily translated to provide a fresh and useful perspective in a broad range of healthcare applications, and used to generate new principles for therapeutic strategies and diagnostic tools based on systems-level properties of immune function.&nbsp;</p><p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</p><p>Faculty Host: <a href="https://bme.gatech.edu/bme/faculty/Manu-O-Platt">Manu Platt</a>, Ph.D.</p>]]></body>
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      <value><![CDATA["Towards Systems-Level Understanding of Immune Cell-Cell Communication and Inflammatory Tissue Environments: Applications in HIV " -  Kelly Arnold, Ph.D., Massachusetts Institute of Technology]]></value>
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      <value><![CDATA[<p>Biomedical Engineering Seminar - "Towards Systems-Level Understanding of Immune Cell-Cell Communication and Inflammatory Tissue Environments: Applications in HIV " -&nbsp; Kelly Arnold, Ph.D., Massachusetts Institute of Technology.</p>&nbsp;]]></value>
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      <value><![CDATA[2015-02-17T10:00:00-05:00]]></value>
      <value2><![CDATA[2015-02-17T11:00:00-05:00]]></value2>
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      <timezone><![CDATA[America/New_York]]></timezone>
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        <value><![CDATA[Undergraduate students]]></value>
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      <value><![CDATA[<p>Faculty Host: <a href="mailto:manu.platt@gatech.edu">Manu Platt</a>, Ph.D.</p>]]></value>
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      <value><![CDATA[(404) 385-0124]]></value>
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      <url><![CDATA[http://www.bme.gatech.edu]]></url>
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          <item><![CDATA[Wallace H. Coulter Dept. of Biomedical Engineering]]></item>
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        <value><![CDATA[Biomedical Engieering]]></value>
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        <value><![CDATA[HIV]]></value>
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