Graduate Course on Mathematical Oncology I - Introduction
Description
Introduction to math oncology models
- basic models for the different treatment modalities
- parameterization/curve fitting methods
- model sensitivity analysis (local and global)
- model identifiability
- parameter landscape clustering/pca
- virtual clinical trials
- digital twins.
