Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

AI against Prostate Cancer

The Prostate Pod met Dan Brewer and Dan Woodcock for a chat about how artificial intelligence is a new frontier against prostate cancer. Listen to the podcast episode on Spotify

Dan Woodcock

Associate Professor of Translational Data Science

  • Group Leader

The focus of our group is the development and application of machine learning and statistical methods to multi-modal data sets that can reveal information that conventional techniques cannot.  We mainly work in cancer, where a common interest within the group is to uncover why certain subgroups of patients are susceptible or resistant to particular treatments; a crucial part of the puzzle in the push toward personalised medicine.

Dan is involved in a number of research projects within Oxford, including leading the multimodal data analysis in the COMBATcancer project run through Oxford Cancer and co-leading the Oncology workstream of the Cartography project.  He also has collaborators across the world, particularly those in the Pan Prostate Cancer Group, where he leads the Subtypes and Prognostic Signatures working group.  Although his primary focus remains prostate cancer, he is open to investigating any cancer type and has ongoing projects in bladder, kidney, colorectal, endometrial and oesophageal cancers.