Optimizing personalized therapeutic strategies
The study of cancer-specific, dynamic, cell biological changes in tumours and bodily fluids is aimed at improving cancer diagnosis and treatment outcome based on an optimized selection of cancer patients and the use of personalized therapeutic strategies.
The GUTS research results were used to improve the detection and diagnosis of different types of cancer and to further develop and clinically evaluate cancer treatment for various tumour types.
In addition, the research results were used to establish a data warehouse with clinical, omics and imaging data of treated cancer patients, based on which deep learning and other artificial intelligence approaches can be developed.
The results contributed to improved personalized treatment strategies for our patients, with the fewest possible immediate and late side-effects diminishing quality of life and jeopardizing cancer survivorship.