6/6/22    14:00 - 16:00
Image-informed computational models and methods for prediction of cancer growth and treatment response II  
Minisymposium organized by Guillermo Lorenzo, David A. Hormuth II, Chengyue Wu, Ernesto A.B.F. Lima, Michael R. A. Abdelmalik, Alessandro Reali, Thomas J.R. Hughes and Thomas E. Yankeelov
Room: O – 3
Chair: Guillermo Lorenzo
CoChair: Michael R. A. Abdelmalik
Dynamic contrast enhanced MRI for informing cancer treatment: challenges and outlook for use in cancer modeling
Ryan T. Woodall, Jennifer M. Munson and Russell C. Rockne

A Finite Element method to incorporate the effects of diffusion to the Extended Tofts Model
Diego Sainz-DeMena, Wenfeng Ye, María Ángeles Pérez and José Manuel García-Aznar

Combination therapies and drug resistance in heterogeneous tumoral populations
Marcello Delitala, Elena Piretto and Mario Ferraro

A mathematical study of the influence of hypoxia on phenotypic heterogeneity in cancer and its impact on radiotherapy effectiveness
Giulia Chiari