e-Science for Cancer Prevention and Control
eCPC has built up integrated e-Science competencies in large projects on prostate, breast and cervical cancer. A range of e-Science experts (mathematics, statistics, bioinformatics, computer science) work together with molecular scientists, epidemiologists and clinicians to develop a modularized e-Science framework for personalized screening and treatment. A strength of this MCP is that it has immediate impact on health and society.
E-Science achievements include
- The development and commercialization of the STHLM3 test for prostate cancer diagnostics
- Introduction of next generation sequencing pipelines and prediction algorithms for cancer diagnostic profiling
- Development of a microsimulation framework and prostate cancer natural history model
- Development and estimation of novel breast cancer natural history models
- Development of new predictive algorithms for breast cancer using novel image analysis features
- Development and clinical implementation of the CLAMP system for long-read sequencing of chronic myeloid leukaemia
- Software tools released for survival analysis
People involved can be found here.
