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research/disease-modeling.md
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+title: Disease Modeling
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+## Computational Disease Modeling
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+We build imaging-based models that probe disease mechanisms at the individual patient level.
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+Representative directions include:
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+- **Tumor connectomics** – modeling tumors as networks to understand spatial organization, invasion patterns, and risk.
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+- **Longitudinal evolution** – using multi-timepoint imaging to predict how tumors or organs change under treatment.
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+- **Counterfactual modeling** – exploring alternative trajectories in latent space to reason about “what if” scenarios for therapy.
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+The goal is to move beyond static endpoint prediction toward dynamic models of disease behavior.
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