Scheduled presentations:

• Bayesian information-theoretic approach to determine effective scanning protocols of cancer patients
  *H. Cho (Arizona State University), A. Lewis (Lafayette College), K. Storey (Lafayette College)
• Integrating Mass Effects in Glioma Radiotherapy Planning by Optimization of a Data and Physics Informed Discrete Loss
  *M. Balcerak (University of Zurich), B. Menze (University of Zurich)
• A data-driven physics-based model for predicting prostate cancer progression from the PSA blood test
  *D. Camacho-Gomez (University of Zaragoza), C. Borau (University of Zaragoza, CUD), J. Garcia-Aznar (University of Zaragoza), M. Gomez-Benito (University of Zaragoza), M. Perez (University of Zaragoza)
• Personalized Imaging-Informed Forecasting of Prostate Cancer Progression during Active Surveillance
  *G. Lorenzo (Health Research Institute of Santiago de Comp), C. Wu (UT MD Anderson Cancer Center), J. P. Yung (UT MD Anderson Cancer Center), J. F. Ward (UT MD Anderson Cancer Center), H. Gomez (Purdue University), A. Reali (University of Pavia), T. E. Yankeelov (The University of Texas at Austin), A. M. Venkatesan (UT MD Anderson Cancer Center), T. J. R. Hughes (The University of Texas at Austin)
• A multidisciplinary approach to the therapeutic resistance of prostate cancer
  *M. Cerasuolo (University of Sussex), A. Burbanks (University of Portsmouth), R. Ronca (University of Brescia), A. Ligresti (Institute of Biomolecular Chemistry)
• Agent-based and continuum models for spatial dynamics of infection by oncolytic viruses
  D. Morselli (Politecnico di Torino), *M. Delitala (Politecnico di Torino), F. Frascoli (Swinburne University of Technology)