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title: BioIntelligence Lab
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<section class="hero">
  <h1>BioIntelligence Lab</h1>
  <p class="subtitle">Understanding biological systems with Artificial Intelligence.</p>

  <p class="lead">
    We develop AI methods and imaging-based models to reveal hidden structure in disease and population health.
    Our work spans foundational AI, computational biomedical discovery, and the informatics tools that make
    these advances usable in practice.
  </p>

  <a href="{{ '/research/biomedical-imaging/' | relative_url }}" class="btn-primary">
    Explore our research
  </a>
</section>

<section>
  <h2 class="section-title">Research Pillars</h2>
  <div class="pillar-grid">
    <div class="pillar-card">
      <h3>Fundamental AI</h3>
      <p>
        Algorithms for safe, trustworthy, and collaborative AI systems, including bias modeling,
        uncertainty, and human–AI ecosystems such as SheLL.
      </p>
      <a href="{{ '/research/fundamental-ai/' | relative_url }}">Learn more →</a>
    </div>

    <div class="pillar-card">
      <h3>Computational Biomedical Discovery</h3>
      <p>
        Imaging-based models that characterize disease mechanisms and population-level patterns, from tumor
        connectomics to opportunistic screening and dementia risk.
      </p>
      <a href="{{ '/research/biomedical-imaging/' | relative_url }}">Learn more →</a>
    </div>

    <div class="pillar-card">
      <h3>Informatics &amp; Tools</h3>
      <p>
        Software platforms such as MIST and VoxelInsight that enable scalable data access, analysis, and
        automated research workflows in medical imaging.
      </p>
      <a href="{{ '/research/informatics/' | relative_url }}">Learn more →</a>
    </div>
  </div>
</section>