Developing an Agent-Based Mathematical Model for Simulating Post-Irradiation Cellular Response: A Crucial Component of a Digital Twin Framework for Personalized Radiation Treatment

TL;DR

This paper introduces a novel agent-based simulation model called the Physical-Bio Translator that accurately predicts cellular responses to irradiation, advancing digital twin technology for personalized radiation therapy.

Contribution

The study develops a new cell-state transition model within an agent-based framework, validated against experimental data, to simulate post-irradiation cellular responses for digital twin applications.

Findings

Successfully replicates experimental irradiation outcomes

Demonstrates potential for digital simulation of cell irradiation

Lays groundwork for tissue-scale digital twins

Abstract

In this study, we present the Physical-Bio Translator, an agent-based simulation model designed to simulate cellular responses following irradiation. This simulation framework is based on a novel cell-state transition model that accurately reflects the characteristics of irradiated cells. To validate the Physical-Bio Translator, we performed simulations of cell phase evolution, cell phenotype evolution, and cell survival. The results indicate that the Physical-Bio Translator effectively replicates experimental cell irradiation outcomes, suggesting that digital cell irradiation experiments can be conducted via computer simulation, offering a more sophisticated model for radiation biology. This work lays the foundation for developing a robust and versatile digital twin at multicellular or tissue scales, aiming to comprehensively study and predict patient responses to radiation therapy.