Solution of glioma brain tumor model using physics informed neural network

When we examine the studies conducted, we observe that problems in the fields of medicine and biology are mathematically modeled using the Physics-Informed Neural Networks (PINN) method. PINNs have been used for the early diagnosis and detection of brain tumors, which pose a serious threat to human life. In this study, the problem is addressed by solving one- and two-dimensional cases using PINN based on nonlinear partial differential equations that describe the spatial and temporal spread of brain tumor cells.