The aim is to develop a model to simulate disease progression using physics-based methods.
Developed a spatio-temporal disease progression model
Applied parametrized PDE fitting procedures
Utilized empirical datasets from various domains
Demonstrated effective modeling of disease progression
Showed versatility across different empirical datasets
Abstract
The proposed spatio-temporal disease progression model and PINN-EM fitting procedure can be applied across diverse domains facing the challenge of fitting parametrized PDE to the empirical datasets.