PHYSICS-INFORMED NEURAL NETWORKS FOR SPATIOTEMPORAL TUMOR GROWTH MODELING: A COMPREHENSIVE SIMULATION STUDY
Mathematical modeling of tumor growth using partial differential equations (PDEs) has emerged as a powerful tool for understanding cancer progression and optimizing therapeutic strategies. However, traditional numerical methods face significant challenges when applied to complex geometries, sparse clinical data, and in...