• Theme: Normal Tissue Damage
Prediction, prevention and the treatment of toxicity are key aspects of our model-based approach and an integral part of our Rapid-Learning Healthcare System (RLHS). Within this research theme we therefore specifically aim
- to understand the fundamental biological mechanisms underlying the development of toxicity.
- to identify key biomarkers predictive of the risk of treatment-related toxicity.
- to determine the role and localization of normal tissue stem cells and how they can be protected from irradiation to prevent damage.
Prospective data registration will furthermore enable the development of new NTCP-models and allow improvements for those tumor sites for which current NTCP-models are less sophisticated or even lacking. These new and updated models will be validated by our RLHS. Our findings are not limited to proton therapy and can be expanded to other modalities, such as the MR-linac or hypofractionation techniques.