Redazione RHC : 29 August 2025 15:54
The project “A basic model for cancer vaccine design” has been shortlisted for an award from the UK government’s prestigious AI Research Resource (AIRR) initiative, led by the Department for Science, Innovation and Technology (DSIT) and UK Research and Innovation (UKRI).
The project will receive 10,000 GPU hours on the Dawn Supercomputer, one of the UK’s fastest AI supercomputers.
Dr. Lennard Lee, Associate Professor at the Centre for Immuno-Oncology and co-lead of the project, said:
“We believe Oxford can lead a new era of discovery in cancer care, making treatments safer, more precise, and more effective through the use of cutting-edge technologies. Cancer vaccine design faces one of the biggest bottlenecks in development: access to high-performance computing infrastructure. With one of the UK’s fastest AI supercomputers now at our disposal, discoveries that once took years could now take just weeks.”
Michael Bryan, a PhD student at the Centre for Immuno-Oncology, said:
“It is a real privilege to work at Oxford with the support of Cancer Research UK. Our team is developing specialized AI core models to accelerate the discovery of targets for life-saving cancer vaccines.”
The project, led by the Nuffield Department of Medicine, will leverage publicly available tumor datasets to make discoveries across multiple cancer subtypes and contribute to the Oxford Neoantigen Atlas, an open-access platform supporting cancer vaccine research across the UK.
This work is part of a wider national effort to accelerate the UK’s scientific capabilities, transformed by access to the supercomputing power of artificial intelligence, to usher in a new era of immunology and vaccine discovery.
The AIRR programme, led by DSIT and UKRI, is investing over £1 billion to increase the nation’s computing capacity 20-fold by 2030, enabling bold, data-driven research across the public and private sectors. This award aligns Oxford scientists with the government’s ambition to make Britain a global leader in artificial intelligence, science, and healthcare innovation.
Redazione