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<!DOCTYPE html>
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    <meta name="description" content="Glasgow Tutorial on Multimodal Large Language Models for Healthcare">
    <meta name="author" content="Yunsoo Kim">

    <title>Multimodal Large Language Models for Healthcare Tutorial</title>
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      <div class="vert-text">
        <h1>Multimodal Large Language Models for Healthcare</h1>
        <h3>MONDAY, NOVEMBER 24TH 2025 10:00-16:00</h3>
        <h3>Clarice Pears Building</h3>
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            <h2>This tutorial provides an introduction to Multimodal Large Language Models (MLLMs) for healthcare data.</h2>
            <p class="lead">The tutorial covers the integration of clinical reports, medical images, and graph representations in MLLMs, with a focus on applications in precision medicine, radiology, and pathology. Attendees will learn how to adapt MLLMs using prompting, instruction tuning, and knowledge graph integration, as well as techniques for human-AI collaboration in clinical practice.</p>
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    </div>
    <!-- /Intro -->

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  <h2 class="text-center" style="margin-top:30px;">Schedule</h2>
  <hr>
  <table class="table table-bordered table-striped">
    <thead>
      <tr>
        <th>Time</th>
        <th>Topic</th>
        <th>Speaker</th>
        <th>Duration</th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td>10:00am</td>
        <td>
          Era of Large Language Models<br>
          <ul>
            <li>Impact and limitations of LLMs</li>
            <li>Open-source models</li>
          </ul>
        </td>
        <td>Honghan Wu</td>
        <td>30 mins</td>
      </tr>
      <tr>
        <td>10:30am</td>
        <td>
          Error Detection & Fact Checking with Knowledge Graphs<br>
          <ul>
            <li>Knowledge graph integration</li>
            <li>Enhancing MLLMs</li>
          </ul>
        </td>
        <td>Honghan Wu</td>
        <td>30 mins</td>
      </tr>
      <tr>
        <td>11:00am</td>
        <td><strong>Break</strong></td>
        <td></td>
        <td>15 mins</td>
      </tr>
      <tr>
        <td>11:15am</td>
        <td>
          Integrating LLMs & Knowledge Graphs for EHRs<br>
          <ul>
            <li>EHRs, contextual reasoning</li>
          </ul>
        </td>
        <td>Yusuf Abdulle</td>
        <td>30 mins</td>
      </tr>
      <tr>
        <td>11:45am</td>
        <td>
          Unifying Multimodal Clinical & Genomic Data<br>
          <ul>
            <li>Knowledge graph-driven precision medicine</li>
          </ul>
        </td>
        <td>Yusuf Abdulle</td>
        <td>30 mins</td>
      </tr>
      <tr>
        <td>12:15pm</td>
        <td><strong>Lunch Break</strong></td>
        <td></td>
        <td>60 mins</td>
      </tr>
      <tr>
        <td>13:15pm</td>
        <td>
          Expanding LLMs to Vision: Multimodal LLMs
        </td>
        <td>Yunsoo Kim</td>
        <td>30 mins</td>
      </tr>
      <tr>
        <td>13:45pm</td>
        <td>
          Multimodal LLMs for Radiology<br>
          <ul>
            <li>Data construction</li>
            <li>Visual instruction tuning</li>
            <li>Reasoning enhancement</li>
            <li>Applications: report generation, diagnostics, error checking</li>
          </ul>
        </td>
        <td>Jinge Wu</td>
        <td>90 mins</td>
      </tr>
      <tr>
        <td>15:15pm</td>
        <td><strong>Break</strong></td>
        <td></td>
        <td>15 mins</td>
      </tr>
      <tr>
        <td>15:30pm</td>
        <td>
          Multimodal LLMs for Pathology<br>
          <ul>
            <li>Patch and WSI models</li>
            <li>Report generation & metrics</li>
          </ul>
        </td>
        <td>Yunsoo Kim</td>
        <td>30 mins</td>
      </tr>
    </tbody>
  </table>
</div>
    <!-- /Schedule -->

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            <h3>Tutorial Material</h3>
            <a href="https://github.com/knowlab/glasgow_tutorial" class="btn btn-lg btn-default">GitHub</a>
            <a href="241125_MLLM_Tutorial.pdf" class="btn btn-lg btn-primary">Slides</a>
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            <h2>Tutorial Presenters</h2>
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              <a href="https://www.linkedin.com/in/yunsoo-kim-00637759/"><img class="img-portfolio img-responsive" src="img/YUNSOO.jpg"></a>
              <h4>Yunsoo Kim</h4>
              <p>Yunsoo Kim is a PhD candidate at University College London. Before his PhD, he was a senior research scientist and the NLP group leader at LG Chem. Yunsoo’s research focuses on enhancing multimodal large language models with human expertise. He led organizing tutorials at HealTac2024, MICCAI2024, and MICCAI2025, and is serving as the tutorial chair at HealTac2025.</p>
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              <a href="https://www.linkedin.com/in/jingewu"><img class="img-portfolio img-responsive" src="img/JINGE.jpeg"></a>
              <h4>Jinge Wu</h4>
              <p>Jinge is a research fellow at IHI, UCL, specializing in multimodal large language models for radiology. Her research advances the integration of foundation models with clinical workflows, with publications in leading venues including Nature Biomedical Engineering, Nature Reviews Bioengineering, and The Lancet Digital Health. Her work spans large-scale population health analytics on NHS records, development of medical MLLMs for diagnostic reasoning, and human-AI collaborative systems deployed in real-world healthcare settings.</p>
            </div>
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              <a href="https://www.linkedin.com/in/yusufab"><img class="img-portfolio img-responsive" src="https://knowlab.github.io/img/pics/IMG_6382_Yusuf.jpg"></a>
              <h4>Yusuf Abdulle</h4>
              <p>Yusuf Abdulle is a PhD candidate at King’s College London. Previously, he worked across academia, the NHS, and startups. His research uses Electronic Health Records (EHRs), knowledge graphs, imaging data, and genetic data to model the onset and progression and disease trajectories of Motor Neurone Disease (MND) / Amyotrophic Lateral Sclerosis (ALS).</p>
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              <a href="https://www.linkedin.com/in/honghan-wu-99835b7/"><img class="img-portfolio img-responsive" src="img/HONGHAN.jpg"></a>
              <h4>Honghan Wu</h4>
              <p>Professor Honghan Wu is a Professor of Health Informatics and AI at the University of Glasgow. He is the co-lead of SHW’s data science and AI theme. Honghan currently holds an honorary Associate Professor position with the IHI, UCL where he leads a Health Informatics Group called KnowLab. His research interest is the intersection of health informatics and large language models.</p>
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