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
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
Understanding why some children with neuroblastoma have worse survival or respond badly to treatment
Targeting the Fanconi Anaemia pathyway in neuroblastoma
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
Improving our understanding of brain tumours in teenagers and young adults
Teenagers and young adults with primary CNS cancers: a systematic biological characterisation
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
Using the immune system to improve treatment for Hodgkin lymphoma
Targeting GPNMB in Hodgkin lymphoma