06 June 2022 11:00 - 13:00
Add Image-informed computational models and methods for prediction of cancer growth and treatment response I 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 MS16A Chair: Guillermo Lorenzo CoChair: Michael R. A. Abdelmalik |
A Cahn-Hilliard Keller-Segel model for tumor growth with angiogenesis
Abramo Agosti, Alice Giotta Lucifero, Sabino Luzzi and Elisabetta Rocca Image-informed biomechanical model for glioblastoma growth: a combined descriptive and predictive model Meryem Abbad Andaloussi, Andreas Hursch, Frank Hertel, Stéphane Urcun and Stéphane Bordas Fitting the evolution of glioma‘s mean radius before and after radiotherapy with a simple biophysical model Leo Adenis, Stephane Plaszczynski, Basile Grammaticos, Johan Pallud and Mathilde Badoual Patient-specific prediction of the growth of asymptotic meningiomas using spatial mechanistic modeling and deep learning Annabelle Collin, Oliver Saut and Virginie Montalibet Modeling and simulation of vascular tumors embedded in evolving capillary networks Marvin Fritz, Prashant K. Jha, Tobias Köppl, J. Tinsley Oden, Andreas Wagner and Barbara Wohlmuth Personalized computational forecasting of prostate cancer growth during active surveillance Guillermo Lorenzo, Jon S. Heiselman, Michael A. Liss, Michael I. Miga, Hector Gomez, Thomas E. Yankeelov, Thomas J. R. Hughes and Alessandro Reali |