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Tumor Treatment and its Costs 

Effective tumor control often comes with significant therapeutic costs. To explore the relationship between treatment intensity, tumor reduction, and cumulative financial burden, we simulated tumor growth under varying treatment levels (u(t)).

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Figure1: Graph of tumor size and treatment cost against time for different treatment intensities, u(t)

Figure 1 Shows tumor size reduction and cumulative treatment cost over time for different treatment intensities u.

  • Higher u (e.g., u = 1.0) leads to:

    1. Faster tumor reduction.

    2. Steep increase in cumulative cost.​

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  • Lower u (e.g., u = 0.3) results in:

    1. Slower tumor shrinkage.

    2. Much lower cost.​

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 Applications of the Model

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  • Helps clinicians personalize cancer therapy by simulating various dose strategies.

  • Provides a tool for balancing tumor control and cost, especially in resource-limited settings.

  • Can be extended to model:

    1. Immune system interactions.

    2. Chemotherapy vs. radiotherapy comparison.

    3. Patient-specific treatment responses.​

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