Optimal drug application on stochastic cancer growth: an approach through path integral control

Fuente: arXiv
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Main Author: Farinacci, Noelymar
Format: Preprint
Published: 2024
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author Farinacci, Noelymar
author_facet Farinacci, Noelymar
contents We provide an overview of an optimal control problem within a stochastic model of tumor growth, which includes drug application. The model comprises two stochastic differential equations (SDE) representing the diffusion of nutrient and drug concentrations. To account for various uncertainties, stochastic terms are incorporated into the deterministic framework, capturing random disturbances. Control variables, informed by medical principles, are used to regulate drug and nutrient concentrations. In defining the optimal control problem, a stochastic cost function can be established, and a Feynman-type path integral control approach would lead to an optimal drug treatment.
format Preprint
id arxiv_https___arxiv_org_abs_2411_05968
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Optimal drug application on stochastic cancer growth: an approach through path integral control
Farinacci, Noelymar
Optimization and Control
Probability
93E03, 91A16
We provide an overview of an optimal control problem within a stochastic model of tumor growth, which includes drug application. The model comprises two stochastic differential equations (SDE) representing the diffusion of nutrient and drug concentrations. To account for various uncertainties, stochastic terms are incorporated into the deterministic framework, capturing random disturbances. Control variables, informed by medical principles, are used to regulate drug and nutrient concentrations. In defining the optimal control problem, a stochastic cost function can be established, and a Feynman-type path integral control approach would lead to an optimal drug treatment.
title Optimal drug application on stochastic cancer growth: an approach through path integral control
topic Optimization and Control
Probability
93E03, 91A16
url https://arxiv.org/abs/2411.05968