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
Killing dormant leukaemia cells to stop relapse
Targeting refractory and dormant stem cells in childhood leukaemia
Reducing pain caused as a side effect of vincristine chemotherapy
Can we reduce or eliminate the sensory nerve damage caused by vincristine chemotherapy? Potential novel adjunct neuroprotective/analgesic therapies.
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 immunotherapy in high-risk neuroblastoma
Understanding and improving the mechanism of action of anti-GD2 monoclonal antibody therapy in neuroblastoma
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
Phase II clinical trial: Can a new drug help treat relapsed or refractory (not responding to treatment) ALK+ anaplastic large cell lymphoma?
NIVO-ALCL - Phase II trial of nivolumab for paediatric and adult relapsing/refractory ALK+ anaplastic large cell lymphoma, for evaluation of response in patients with progressive disease (Cohort 1) or as consolidative immunotherapy in patients in complete remission after relapse (Cohort 2)
Next generation molecular profiling of malignant rhabdoid tumours
Identifying which are the cellular molecules that drive growth and spread of rhabdoid tumours, and to use this information to nominate new treatment strategies and develop real-time diagnostic tests for personalising treatment