Special Session 157: Advances in PDE-Based and Data-Driven Approaches for Applied Sciences

Inverse and constrained optimization problems with applications to personalized medicine
Abramo Agosti
University of Pavia
Italy
Co-Author(s):    Elena Beretta, Cecilia Cavaterra, Matteo Fornoni, Elisabetta Rocca
Abstract:
In this talk I will present different types of inverse and PDE-constrained optimization problems for multiphase tumour growth models which are of some interest for clinical applications. In particular, I will present the inverse identification problem of the initial condition from a single-point measurement at a final time for a Cahn-Hilliard type model describing tumour evolution in the a-vascular stage, and the parameters optimization problem for a multiphase model describing tumour growth in the vascular stage. I will show both analytical and numerical results, and present numerical simulations for both academic and patient-specific test cases.