<?xml version='1.0' encoding='utf-8'?>
<?xml-stylesheet type="text/xsl" href="/v2/static/oai2.xsl"?>
<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd">
  <responseDate>2026-10-11T20:55:57Z</responseDate>
  <request identifier="oai:figshare.com:article/34000299" metadataPrefix="oai_dc" verb="GetRecord">https://api.figshare.com/v2/oai</request>
  <GetRecord>
    <record>
      <header>
        <identifier>oai:figshare.com:article/34000299</identifier>
        <datestamp>2026-09-25T17:52:35Z</datestamp>
        <setSpec>category_146</setSpec>
        <setSpec>category_7</setSpec>
        <setSpec>category_8</setSpec>
        <setSpec>category_21</setSpec>
        <setSpec>category_272</setSpec>
        <setSpec>category_46</setSpec>
        <setSpec>category_734</setSpec>
        <setSpec>category_64</setSpec>
        <setSpec>category_132</setSpec>
        <setSpec>portal_5</setSpec>
        <setSpec>item_type_3</setSpec>
        <setSpec>month_year_09_2026</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>&lt;p&gt;Performance comparison of disease state classification methods. Our model was evaluated using five-fold cross-validation to classify lung tissue sections into three disease states: asymptomatic infection, acute pulmonary TB, and chronic pulmonary TB. Values in parentheses represent 95% confidence intervals.&lt;/p&gt;</dc:title>
          <dc:creator>Usama Sajjad (25111695)</dc:creator>
          <dc:creator>Nicholas A. Crossland (5500244)</dc:creator>
          <dc:creator>Metin N. Gurcan (5095118)</dc:creator>
          <dc:creator>Gillian Beamer (623385)</dc:creator>
          <dc:creator>Muhammad Khalid Khan Niazi (5095121)</dc:creator>
          <dc:subject>Space Science</dc:subject>
          <dc:subject>Medicine</dc:subject>
          <dc:subject>Microbiology</dc:subject>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Environmental Sciences not elsewhere classified</dc:subject>
          <dc:subject>Immunology</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Cancer</dc:subject>
          <dc:subject>Infectious Diseases</dc:subject>
          <dc:subject>second novel approach</dc:subject>
          <dc:subject>granuloma architecture varies</dc:subject>
          <dc:subject>based spatial immunoprofiling</dc:subject>
          <dc:subject>multiplexed fluorescence images</dc:subject>
          <dc:subject>used lung sections</dc:subject>
          <dc:subject>results help establish</dc:subject>
          <dc:subject>derived results shows</dc:subject>
          <dc:subject>balanced immune expression</dc:subject>
          <dc:subject>tb ), caused</dc:subject>
          <dc:subject>large language model</dc:subject>
          <dc:subject>div &gt;&lt; p</dc:subject>
          <dc:subject>address knowledge gaps</dc:subject>
          <dc:subject>peribronchiolar b cells</dc:subject>
          <dc:subject>bronchiolar epithelial cells</dc:subject>
          <dc:subject>chronic pulmonary tb</dc:subject>
          <dc:subject>acute pulmonary tb</dc:subject>
          <dc:subject>mycobacterium tuberculosis &lt;/</dc:subject>
          <dc:subject>b cells</dc:subject>
          <dc:subject>chronic tb</dc:subject>
          <dc:subject>multiplexed immunofluorescence</dc:subject>
          <dc:subject>immune cells</dc:subject>
          <dc:subject>bronchiolar epithelium</dc:subject>
          <dc:subject>tb &lt;/</dc:subject>
          <dc:subject>highest immune</dc:subject>
          <dc:subject>tb -&lt;/</dc:subject>
          <dc:subject>acute tb</dc:subject>
          <dc:subject>cells closer</dc:subject>
          <dc:subject>study show</dc:subject>
          <dc:subject>macrophage proximity</dc:subject>
          <dc:subject>low cellularity</dc:subject>
          <dc:subject>human responses</dc:subject>
          <dc:subject>higher cd4</dc:subject>
          <dc:subject>first developed</dc:subject>
          <dc:subject>dysfunctional responses</dc:subject>
          <dc:subject>disease state</dc:subject>
          <dc:subject>directly studied</dc:subject>
          <dc:subject>deep learning</dc:subject>
          <dc:subject>better understand</dc:subject>
          <dc:subject>automated pipeline</dc:subject>
          <dc:subject>approximately 10</dc:subject>
          <dc:subject>analyze data</dc:subject>
          <dc:subject>accurate model</dc:subject>
          <dc:subject>&gt;), remains</dc:subject>
          <dc:description>&lt;p&gt;Performance comparison of disease state classification methods. Our model was evaluated using five-fold cross-validation to classify lung tissue sections into three disease states: asymptomatic infection, acute pulmonary TB, and chronic pulmonary TB. Values in parentheses represent 95% confidence intervals.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-25T17:52:22Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.1371/journal.pone.0358334.t002</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/_p_Performance_comparison_of_disease_state_classification_methods_Our_model_was_evaluated_using_five-fold_cross-validation_to_classify_lung_tissue_sections_into_three_disease_states_asymptomatic_infection_acute_pulmonary_TB_and_chronic_pulm/34000299</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
        </oai_dc:dc>
      </metadata>
    </record>
  </GetRecord>
</OAI-PMH>
