Organizers: Alvaro Köhn-Luque​ & Saskia Haupt​

16:40 – 17:00 – Augmenting mechanistic models with machine learning to predict cancer treatment outcomes. / Presenting author: Alvaro Köhn-Luque.

17:00 – 17:20 – Patient-specific forecasting of prostate cancer growth and radiotherapy responde using biomechanistic models and hybrid classifiers. / Presenting author: Guillermo Lorenzo.

17:20 – 17:40 – Integrating machine learning and mechanistic modeling enables non-invasive measurement of intra-tumoral fluid transport in dynamic MRI. / Presenting author:  Russell Rockne

17:40 – 18:00 – Predicting anatomical tumor growth in pediatric glioma by guided denoising diffusion models. / Presenting author: Sarah Brüningk.