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
‘Starving’ brain tumours to death
Exploring alterations in amino acid metabolism as novel therapeutic targets in paediatric glial tumours using advanced metabolomics methods
Understanding the biology of relapsed ependymoma brain tumours to help improve treatments
Deciphering the New Molecular Landscape in Paediatric Recurrent Ependymoma: Implications for Molecular Targeted Therapy
Improving our understanding of brain tumours in teenagers and young adults
Teenagers and young adults with primary CNS cancers: a systematic biological characterisation
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
Understanding the molecular makeup of low grade glioma and DIPG
Molecular pathophysiology of histone G34R mutated childhood brain tumours: towards the development of novel targeted therapies
Using modern scanning techniques to diagnose brain tumours more quickly and accurately
Improving the diagnosis of children’s brain tumours by Functional Radiomics
Improving our understanding of ependymomas in the spinal cord
Comprehensive molecular characterization of paediatric spinal ependymomas
Investigating a new approach to treating childhood brain tumours
Investigating the arginine auxotrophy of paediatric brain tumours