<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>Adaptive Therapy on Qualia Radiomics</title>
    <link>https://www.qradiomics.com/tags/adaptive-therapy/</link>
    <description>Recent content in Adaptive Therapy on Qualia Radiomics</description>
    <generator>Hugo</generator>
    <language>en-us</language>
    <lastBuildDate>Mon, 18 May 2026 09:00:00 -0400</lastBuildDate>
    <atom:link href="https://www.qradiomics.com/tags/adaptive-therapy/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Selected for ASTRO 2026 BEST of Physics — Oral Presentation in Boston</title>
      <link>https://www.qradiomics.com/posts/2026-05-18-astro-2026-best-of-physics-oral-acceptance/</link>
      <pubDate>Mon, 18 May 2026 09:00:00 -0400</pubDate>
      <guid>https://www.qradiomics.com/posts/2026-05-18-astro-2026-best-of-physics-oral-acceptance/</guid>
      <description>&lt;p&gt;Thrilled to share that our work has been selected for an &lt;strong&gt;Oral Scientific Presentation in the &lt;em&gt;BEST of Physics&lt;/em&gt; session&lt;/strong&gt; at the &lt;strong&gt;American Society for Radiation Oncology (ASTRO) 2026 Annual Meeting&lt;/strong&gt;, September 26–30 in Boston, MA. Out of &lt;strong&gt;~2,700 abstracts submitted&lt;/strong&gt; to ASTRO this year, only &lt;strong&gt;300 were chosen&lt;/strong&gt; for oral presentation, and &lt;em&gt;BEST of Physics&lt;/em&gt; gathers the highest-rated physics work of the meeting.&lt;/p&gt;
&lt;h2 id=&#34;presentation-details&#34;&gt;Presentation details&lt;/h2&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;&lt;/th&gt;
          &lt;th&gt;&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;strong&gt;Abstract #&lt;/strong&gt;&lt;/td&gt;
          &lt;td&gt;75557&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;strong&gt;Title&lt;/strong&gt;&lt;/td&gt;
          &lt;td&gt;Early Adaptive Interventions in Lung Cancer: Leveraging Fusion of Longitudinal CBCT Trajectories and Clinical Variables for Robust Survival Prediction&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;strong&gt;Session&lt;/strong&gt;&lt;/td&gt;
          &lt;td&gt;SS 19 — &lt;em&gt;BEST of Physics&lt;/em&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;strong&gt;Date / Time&lt;/strong&gt;&lt;/td&gt;
          &lt;td&gt;September 28, 2026 · 10:45 AM – 12:00 PM ET&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;strong&gt;Venue&lt;/strong&gt;&lt;/td&gt;
          &lt;td&gt;Thomas M. Menino Convention &amp;amp; Exhibition Center, Boston, MA&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;strong&gt;Format&lt;/strong&gt;&lt;/td&gt;
          &lt;td&gt;7-min oral + 3-min Q&amp;amp;A&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;strong&gt;Publication&lt;/strong&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a href=&#34;https://www.redjournal.org&#34;&gt;Red Journal&lt;/a&gt; supplement&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;h2 id=&#34;authors&#34;&gt;Authors&lt;/h2&gt;
&lt;p&gt;&lt;strong&gt;Wookjin Choi&lt;/strong&gt;, Pradeep Bhetwal, Michael Dichmann, Yingcui Jia, Wenchao Cao, Danfu Liang, Yingxuan Chen, Adam Dicker, Yevgeniy Vinogradskiy&lt;/p&gt;</description>
    </item>
    <item>
      <title>Deep Learning Segmentation for Accurate GTV and OAR Segmentation in MR-Guided Adaptive Radiotherapy for Pancreatic Cancer Patients</title>
      <link>https://www.qradiomics.com/posts/2023-10-07-deep-learning-segmentation-for-accurate-gtv-and-oar-segmentation-in-mr-guided-adaptive-radiotherapy-for-pancreatic-cancer-patients/</link>
      <pubDate>Sat, 07 Oct 2023 17:35:36 -0400</pubDate>
      <guid>https://www.qradiomics.com/posts/2023-10-07-deep-learning-segmentation-for-accurate-gtv-and-oar-segmentation-in-mr-guided-adaptive-radiotherapy-for-pancreatic-cancer-patients/</guid>
      <description>&lt;div class=&#34;slideshare-embed&#34; style=&#34;position:relative;padding-bottom:56.25%;height:0;margin:1rem 0;&#34;&gt;
  &lt;iframe src=&#34;https://www.slideshare.net/slideshow/embed_code/260812562&#34;
          width=&#34;595&#34; height=&#34;485&#34;
          style=&#34;position:absolute;top:0;left:0;width:100%;height:100%;border:1px solid #CCC;&#34;
          frameborder=&#34;0&#34; marginwidth=&#34;0&#34; marginheight=&#34;0&#34; scrolling=&#34;no&#34;
          allowfullscreen&gt;&lt;/iframe&gt;
&lt;/div&gt;

&lt;div class=&#34;slideshare-embed&#34; style=&#34;position:relative;padding-bottom:56.25%;height:0;margin:1rem 0;&#34;&gt;
  &lt;iframe src=&#34;https://www.slideshare.net/slideshow/embed_code/261888371&#34;
          width=&#34;595&#34; height=&#34;485&#34;
          style=&#34;position:absolute;top:0;left:0;width:100%;height:100%;border:1px solid #CCC;&#34;
          frameborder=&#34;0&#34; marginwidth=&#34;0&#34; marginheight=&#34;0&#34; scrolling=&#34;no&#34;
          allowfullscreen&gt;&lt;/iframe&gt;
&lt;/div&gt;

&lt;p&gt;&lt;a href=&#34;https://aapm.confex.com/aapm/2023am/meetingapp.cgi/Paper/3903&#34;&gt;AAPM 2023&lt;/a&gt;, &lt;a href=&#34;https://pubmed.ncbi.nlm.nih.gov/37785478/&#34;&gt;ASTRO 2023&lt;/a&gt;&lt;/p&gt;</description>
    </item>
    <item>
      <title>Longitudinal CBCT radiomics in Lung Cancer supported by Varian Medical Systems Inc.</title>
      <link>https://www.qradiomics.com/posts/2023-02-10-longitudinal-cbct-radiomics-in-lung-cancer-supported-by-varian-medical-systems-inc/</link>
      <pubDate>Fri, 10 Feb 2023 15:23:27 -0500</pubDate>
      <guid>https://www.qradiomics.com/posts/2023-02-10-longitudinal-cbct-radiomics-in-lung-cancer-supported-by-varian-medical-systems-inc/</guid>
      <description>&lt;p&gt;&lt;strong&gt;Varian&lt;/strong&gt; will support my research project entitled &amp;ldquo;&lt;strong&gt;Longitudinal CBCT radiomics analysis for lung cancer radiotherapy response and prognosis prediction&lt;/strong&gt;&amp;rdquo; with $230,000 over 2 years. This is the first research grant from Varian to the Department of Radiation Oncology, Sidney Kimmel Medical College at Thomas Jefferson University. This project can potentially impact the clinical practice of lung cancer patients by using standard imaging modalities (CBCT and 4D-CBCT) to provide early prediction of prognosis and toxicity.&lt;/p&gt;</description>
    </item>
  </channel>
</rss>
