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 has a background in mathematics and machine learning and has over 15 years experience in the biomedical field. The focus of his group is the development and application of machine learning methods to multi-modal data sets to reveal information that conventional techniques cannot. His main work is in cancer, where a particular interest is the discovery of subtypes and prognostic signatures to stratify patients that are susceptible or resistant to particular treatments.

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.