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Informatics CRN: Spotlight on Projects


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- CancerGrid: open standards for clinical cancer informatics
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- Mathematical Modelling of Fluid Flows
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- Probabilistic Model Checking with PRISM
- Relativistic Heavy Ion Collisions
- Science Education Through Emerging Informatics Technologies
- Studies of Fluidised Beds of Cohesive Particles
- Studying Proteins
- Understanding the Causes of Childhood Cancer
- Understanding the Internet: modelling communications networks
- Uptake Signal Sequences in Bacterial DNA
 

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Understanding the Causes of Childhood Cancer

Contact:
Dr Andrew Peet
Department of Paediatrics & Child Health, Division of Reproductive and Child Health
The School of Medicine
The University of Birmingham
Vincent Drive

Edgbaston, Birmingham
B15 2TT, United Kingdom

Email: informatics-crn-enquiries[at]cs.bham.ac.uk
Website: http://www.rch.bham.ac.uk/pch/ChildhoodCancer/MRS.htm
The Medical School Contact Page: http://www.medicine.bham.ac.uk/contact.htm


The Children’s Cancer Research Group at the University of Birmingham and Birmingham Children’s Hospital are working to develop new scanning methods for the diagnosis, management and understanding of childhood brain and nervous system tumours. Techniques such as magnetic resonance spectroscopy are performed on children with brain tumours at Birmingham Children’s Hospital and stored in our web accessible database at the Institute of Child Health. The scans from the children are linked with laboratory-based studies of the tumours and advance processing techniques are being developed, aiming to further our understanding of the tumours and aid new drug discovery.

This research has recently expanded to include both national and European studies. Birmingham hosts the web accessible functional imaging database of the UK Children’s Cancer Study Group (UKCCSG), a resource for basic research into advanced signal processing and informatics as well as for translational research, and is a partner in the EU Framework 6 project eTUMOUR which is developing a decision support tool for the diagnosis and prognosis of brain tumours based on in vivo magnetic resonance spectroscopy, ex vivo magic angle spinning NMR and gene expression.


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