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
Can we prevent leukaemia in children?
Modelling prophylactic (microbial) prevention of childhood acute lymphoblastic leukaemia
Understanding why some children with neuroblastoma have worse survival or respond badly to treatment
Targeting the Fanconi Anaemia pathyway in neuroblastoma
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
Can we identify an 'ultra-high-risk' type of neuroblastoma?
A pilot study of expression profiling using RNAseq from formalin fixed neuroblastoma and paired diagnostic and relapsed frozen neuroblastomas.
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 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