Optimal control for a combination of cancer therapies in a model of cell competition*

We present a simple mathematical model of ordinary differential equations that describes the interaction between a healthy cell population and cancerous cell population. This model includes the effects on cell populations of chemotherapy and targeted therapy, which are two bounded control variables. We study this model and seek to optimize the fraction of healthy cells within the total cell population over a given therapy period. We apply the Pontryagin Maximum Principle (PMP) and establish the expressions of singular solutions in different interaction cases between healthy and cancer cells. Then, we use a direct optimization method to validate and illustrate our theoretical results.

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Publication Details

Published
2024-12-16
DOI
https://doi.org/10.1109/cdc56724.2024.10886792
Citations
1
Primary Topic
Mathematical Biology Tumor Growth
Type
article
Field-Weighted Citation Impact
0.40
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article

Optimal control for a combination of cancer therapies in a model of cell competition*

Walid Djema, Frédéric Grognard, Pauline Mazel
1 citations
Mathematical Biology Tumor Growth
0.40
article

Optimal control for a combination of cancer therapies in a model of cell competition*

Walid Djema, Frédéric Grognard, Pauline Mazel
article en
1 citations

Abstract

We present a simple mathematical model of ordinary differential equations that describes the interaction between a healthy cell population and cancerous cell population. This model includes the effects on cell populations of chemotherapy and targeted therapy, which are two bounded control variables. We study this model and seek to optimize the fraction of healthy cells within the total cell population over a given therapy period. We apply the Pontryagin Maximum Principle (PMP) and establish the expressions of singular solutions in different interaction cases between healthy and cancer cells. Then, we use a direct optimization method to validate and illustrate our theoretical results.

Institut national de recherche en sciences et technologies du numérique (FR), Université Côte d'Azur (FR), Institut de Biologie Valrose (FR)
Openalex Percentile: Top 40%
Mathematical Biology Tumor Growth
0.40
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