{"id":161,"date":"2009-12-08T04:59:27","date_gmt":"2009-12-08T04:59:27","guid":{"rendered":"http:\/\/depts.washington.edu\/krslab\/?p=161"},"modified":"2010-08-23T05:05:44","modified_gmt":"2010-08-23T05:05:44","slug":"rita-sodt-selected-as-a-finalist-for-the-national-computing-research-association-undergraduate-research-award","status":"publish","type":"post","link":"https:\/\/mathematicalneurooncology.org\/?p=161","title":{"rendered":"Rita Sodt selected as a finalist for the national Computing Research Association Undergraduate Research Award"},"content":{"rendered":"<p>&#8220;<a href=\"https:\/\/www.pathology.washington.edu\/research\/labs\/swanson\/ShowMember.php?LAB=swanson&amp;MEMBER=Rita%20Sodt%20-%20Student%20Research%20Assistant\">Rita<\/a> is recognized by the CRA for her research on modeling and predicting  the growth of highly invasive brain tumors called gliomas. The current  treatment and management of gliomas is limited by the ability of present  imaging technologies to assess the true extent of the tumors. To  address this limitation, Rita\u2019s research focuses on enhancing a  mathematical model of tumor growth to more accurately reflect observed  growth. Instead of assuming isotropic tumor cell diffusion, she is  investigating anisotropic diffusion because it has been observed that  glioma cells migrate preferentially along white matter tracts in the  brain. She compares simulated growth with the observed growth in  individual patients to determine which technique more accurately  predicts the growth of gliomas in vivo&#8230;&#8221;<\/p>\n<p><a href=\"https:\/\/wicse.cs.washington.edu\/blog\/2009\/12\/08\/congratulations-to-uw-cses-cra-ugrad-outstanding-researcher-awardees\/\">Read the full article here.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>&#8220;Rita is recognized by the CRA for her research on modeling and predicting the growth of highly invasive brain tumors called gliomas. The current treatment and management of gliomas is limited by the ability of present imaging technologies to assess the true extent of the tumors. To address this limitation, Rita\u2019s research focuses on enhancing &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/mathematicalneurooncology.org\/?p=161\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Rita Sodt selected as a finalist for the national Computing Research Association Undergraduate Research Award&#8221;<\/span><\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=\/wp\/v2\/posts\/161"}],"collection":[{"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=161"}],"version-history":[{"count":2,"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=\/wp\/v2\/posts\/161\/revisions"}],"predecessor-version":[{"id":163,"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=\/wp\/v2\/posts\/161\/revisions\/163"}],"wp:attachment":[{"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=161"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=161"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=161"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}