Research on Deep Learning-Based Relative Biological Effectiveness Prediction Method
This study proposes a novel deep learning-based regression method utilizing the PIDE3.4 database that integrates physical and biological parameters to achieve accurate, spatially heterogeneous, and cross-cell generalizable predictions of Relative Biological Effectiveness (RBE) for optimizing particle therapy treatment planning.