Stopping ‘cut-and-run’ DNA errors to help treat leukaemia and predict relapse
Towards inhibiting cut-and-run: An aberrant V(D)J recombination reaction that leads to lymphoid cancers
Using artificial intelligence to diagnose brain tumours
Moving Artificial Intelligence of Functional Imaging for children’s tumours into a multi-centre environment through a Clinical Decision Support System
Improving the outlook for children with Philadelphia positive ALL
Unravelling clinical heterogeneity in Philadelphia positive ALL
"Getting it right first time" for children with renal tumours
Improving prediction of relapse, treatment delivery and outcomes for children with renal tumours in the UK
Finding new drugs to treat high-risk rhabdomyosarcoma
High-risk rhabdomyosarcoma patient derived 3D cultures to screen for novel drugs that enhance sensitivity to standard treatment
Developing a blood test to monitor ependymoma treatment and follow-up
Minimal residual disease detection of ependymoma by microRNA biomarker profile evaluation as part of SIOP Ependymoma II trial
Using modern scanning techniques to diagnose brain tumours more quickly and accurately
Improving the diagnosis of children’s brain tumours by Functional Radiomics
Developing a test to help treat leukaemia that has spread to the brain
Developing leukaemic biomarkers to enable personalised CNS-directed therapy