Oxford researchers secure funding to develop AI-guided cancer vaccines
The University of Oxford has received Medical Research Council funding to advance personalised cancer vaccines built using artificial intelligence. The team will use the money to manufacture experimental mRNA vaccines and test whether AI-selected targets trigger strong immune responses against tumours.
The project gained access to the UK's most powerful supercomputers-Dawn and ISAMBARD-AI-in August. These systems allow researchers to process cancer and immune data at scales impossible in standard university computing environments.
How the AI platform works
The core tool is CIARA, an AI platform that analyses tumour biology and coordinates laboratory experiments. It identifies vaccine targets specific to individual patients' cancers, then predicts which targets will generate the strongest anti-cancer immune response.
Dr Lennard Lee, a consultant medical oncologist leading the project, said the combination of sovereign AI systems and human expertise has compressed the timeline for moving from prediction to actual drug development. "It is now possible to move much faster from AI prediction towards real-world personalised drug development," he said.
Scale of the effort
The UK Cancer Vaccine AI & Supercomputing Project now includes over 2,500 scientists, clinicians, technologists, patients and industry partners. The consortium brings together oncologists, cancer researchers, AI specialists, robotics engineers and manufacturing experts.
Funding comes from UK Research and Innovation, the Advanced Research and Invention Agency, the Department for Science, Innovation and Technology, and Cancer Research UK.
Next steps
The MRC funding will support equipment purchases needed to manufacture the experimental vaccines and validate CIARA's predictions in patient samples. The team will test whether AI-selected vaccine targets actually generate the immune responses the system predicts.
For professionals working in research settings, understanding how AI for Science & Research is applied to drug development offers practical insight into how these systems operate at scale.
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