At the NKI, we aim to leverage AI's transformative power to revolutionize cancer diagnosis and treatment. We are dedicated to using artificial intelligence in the fight against cancer, determined to contribute to the next wave of advancements in cancer care.
To achieve this mission a multidisciplinary team of clinicians, physicists, pathologists, biologists, and AI researchers work together to create the vital link between methodological AI research and its real-world application, benefiting cancer patients and survivors.
This integration of knowledge and expertise is central to our approach and reflected across our broad spectrum of oncology AI research projects addressed by our three research groups working on AI:
- The AI for Oncology group develops artificial intelligence innovation for the development of cancer diagnostics and therapy.
- The Computational Pathology group develops computational pathology approaches that combine clinical, pathology and genomics data with image analyses to find the balance between over-an under-treatment of breast and ovarian cancer.
- The Radiology AI group develops AI algorithms to navigate through complexities of cancer diagnosis and treatment planning to unlock new potentials in radiology.
Modern AI research requires access to high-performance computing. Our computational facility has over 1000 CPU cores, 80 high-performance GPUs, 7TB of memory, and over 1PB of high-speed storage. To complement these resources, we have access to the SURF Cartesius cluster, which includes additional A100 nodes. And, not unimportantly, we have access to high-quality, large-scale medical datasets to run our analyses on.
