Computational Patient Models
Our research is dedicated to in-silico radiotherapy simulation of cancer patients undergoing curative irradiation treatment. The challenge for technically precise radiation therapy lies in adapting dose delivery to deformations in the patient’s anatomy induced by motion and physiological changes. Our vision is to create a virtual patient model or a digital twin, serving as a proxy for treatment simulation by accumulating the physical dose and predicting the therapeutic effect of the planned treatment. This empowers treating physicians to tailor the treatment to the specific needs of the patient before irradiation. Algorithm development, advancements in computer technology, and our passion for unusual solutions are our tools in the fight against cancer.