Scheduled presentations:

• Keynote How to make clinical predictions when we do not know everything?
  H. Hatzikirou*
• Bayesian information-theoretic approach to determine effective scanning protocols of cancer patients
  H. Cho*, A. Lewis, K. Storey
• Integrating Mass Effects in Glioma Radiotherapy Planning by Optimization of a Data and Physics Informed Discrete Loss
  M. Balcerak*, B. Menze
• A data-driven physics-based model for predicting prostate cancer progression from the PSA blood test
  D. Camacho-Gomez*, C. Borau, J. Garcia-Aznar, M. Gomez-Benito, M. Perez
• Personalized Imaging-Informed Forecasting of Prostate Cancer Progression during Active Surveillance
  G. Lorenzo*, C. Wu, J. P. Yung, J. F. Ward, H. Gomez, A. Reali, T. E. Yankeelov, A. M. Venkatesan, T. J. R. Hughes