Using digital technology to improve our understanding of rhabdomyosarcoma
Deep learning: An integrated approach to define clinical significance to components of the tumour microenvironment of rhabdomyosarcomas
"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
Identifying the support needed by children with sarcoma
Development of a paediatric version of the Sarcoma Assessment Measure (SAM-Paeds): a specific tool for assessing quality of life in children with sarcoma
Investigating the genetic pathways that control leukaemia growth
RNA helicase DDX3X regulates JAK-STAT signalling in acute lymphoblastic leukaemia
Identifying combinations of repurposed drugs for new treatments of acute myeloid leukaemia
Facing the MuSIC - identification of synergistic repurposed drug combinations as novel therapies in paediatric acute myeloid leukaemia
Understanding drug resistance in neuroblastoma to develop personalised treatments
Overcoming drug resistance for efficacious neuroblastoma therapeutics
Discovering what causes Ewing's sarcoma to spread
Identifying molecular drivers of disease progression in Ewing’s sarcoma
Investigating what causes cells to become out of control in anaplastic large cell lymphoma
Investigation of epigenetic mechanisms of tumour growth control in anaplastic large cell lymphoma
Understanding the genetics of poor outcome neuroblastoma to improve treatment
A genome wide study of unresectable, MYCN non-amplied, unfavourable histology neuroblastomas in patients older than 18 months of age