Designing a simulator for Generalized multi-hit multi-target (GMHMT) radiobiological model in cancer treatment through ionizing radiation therapy

Radiation therapy plays a critical role in cancer treatment, necessitating accurate radiobiological models for predicting tumor cell survival. Traditional models such as the Linear-Quadratic (LQ) and Lea's target models are often inadequate in high-dose scenarios. To address this limitation, we present a MATLAB-based simulation tool implementing the Generalized Multi-Hit Multi-Target (GMHMT) model, which incorporates multi-hit and multi-target dynamics along with a negation parameter to account for repair mechanisms and non-targeted effects. This tool allows users to input tumor-specific parameters—including cell volume, number of targets and hits, and the negation factor—to simulate survival fractions under varying doses. Simulation results demonstrate strong alignment with published experimental data, achieving an RMSE of 0.1030 and an R² value of 0.9128. Sensitivity analysis reveals that dose and tumor volume are primary influencers of survival fraction, underscoring the model's relevance for personalized treatment planning. The GMHMT simulator offers improved accuracy over classical models and provides a user-friendly interface for both clinical and research applications in radiobiological modeling and therapy optimization.