Towards a Field Theoretical Stochastic Model for Description of Tumour Growth

Abstract

We develop a field theory-inspired stochastic model for description of tumour growth based on an analogy with an SI epidemic model, where the susceptible individuals (S) would represent the healthy cells and the infected ones (I), the cancer cells. From this model, we obtain a curve describing the tumour volume as a function of time, which can be compared to available experimental data.

To appear in J. Appl. Math. Phys., 8 pages

References in corpus (3)

• Classical Mathematical Models for Description and Prediction of Experimental Tumor Growth
• Field Theory of Branching and Annihilating Random Walks
• Second Quantization Approach to Stochastic Epidemic Models

Cited by in corpus (2)

• Second quantization approach to COVID-19 epidemic
• Intermediate time scale in the first product formation time distribution of Michaelis-Menten kinetics with inhibitors