About new hybrid approach in cancer modeling
Yehor Surkov, Ihor Samofalov, Mironenko Anastasia

TL;DR
This paper introduces a novel hybrid tumor growth model combining stochastic and deterministic elements, demonstrating its potential for understanding avascular tumor development and offering high extendibility.
Contribution
The paper presents a new hybrid model of tumor growth that integrates stochastic population dynamics with deterministic cell movement, enhancing modeling flexibility.
Findings
Model successfully captures general tumor growth behavior
Qualitative testing on avascular tumors shows promising results
Model's extendibility allows for future adaptations
Abstract
In the present article we demonstrate a new hybrid model of tumor growth. Our model is stochastic by tumor population development and strongly deterministic in cell motility dynamics and spatial propagation. In addition, it has excellent extendibility property. Described model is tested on general behavior and on avascular tumor growth case qualitatively.
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Taxonomy
TopicsMathematical Biology Tumor Growth
