The impact of AI on society at large is manifesting rapidly, where most people have interacted with AI to generate text or edit photos. However, we also see increasing application for AI in healthcare. My group focuses on the application of modern AI techniques to oncological data, such as radiological and pathological images or ‘omics. We have a diverse expertise, ranging from clinical pathology to computer science, from artificial intelligence to biomedical sciences. Specifically, we aim to employ AI to address two research directions: 1) AI for scientific discovery, such as identifying patterns in the tumour and it’s microenvironment related to patient outcomes to drive future basic oncological research and 2) AI for supporting clinicians in their diagnosis to improve the efficiency, quality and reproducibility such as in prostate cancer grading. The former research line connects my group to the rest of the Oncode community, whereas the second research line offers closer links to industry and direct impact on diagnostic practice.