Cancer Research UK RadNet Network

Cancer Research UK RadNet is a network of centres of excellence and state-of-the-art facilities working with the research community to tackle the major challenges of radiobiology and radiation oncology.

CRUK has invested up to an initial £56 million to establish a critical mass of activity in 7 locations. The network will support further growth of the radiation research community through national and international multidisciplinary collaboration, and by developing the future leaders of the field. The investment brings together researchers across discovery, translational and clinical research. The vision is to establish an effective pipeline to translate novel scientific discoveries into patient benefit in the next 10-15 years.

Click here to find out more about the CRUK RadNet network.

RadNet Working Groups led by Leeds

CRUK RadNet AI and Computational Modelling Working Group (Leeds)

Our vision for the AI and Computational Modelling working group is to develop and translate AI-enabled imaging and modelling systems that deliver personalised, precise and adaptive radiotherapy. The aims of the group include: sharing the scope of AI activity in all Units and Centres, sharing best practices and knowledge across RadNet Centres to make the best and efficient use of AI technologies in computational imaging and modelling; promoting, developing and sharing with the broader community reproducible and reusable AI in radiotherapy including open source, open benchmark datasets and consensual assessment protocols and promote validation processes; identifying opportunities for commercial partnerships.

CRUK RadNet Re-irradiation Working Group (Leeds)

Our vision for the Re-irradiation Working Group is to progress re-irradiation in a streamlined and scientifically meaningful way across the UK. The main aim of the group is to coordinate, promote, streamline and share re-irradiation research activities across RadNet, to enhance re-irradiation research quality and, ultimately, increase patient access to this technique.

For further information about the working groups, contact Nick Preston: N.Preston@leeds.ac.uk