- You must login in order to post into this group.
e-Science for Cancer Prevention and Cure
Why do some people get cancer and others do not? Why do some people respond well to certain treatments whilst others do not? How can we improve cancer screening such as mammography to increase the rate of early cancer detection? These are some of the questions that will be addressed in the SeRC flagship project e-Science for Cancer Prevention and Cure (eCPC).
eCPC will apply eScience technologies to model cancer initiation and progression and to test prevention and cure strategies on both simulated and real data. An module based system will be set up for simulation and prediction of cancer initiation and progression based on computational models that integrate data from different sources, such as individual (e.g. genomic, proteomic), environmental, and life style factors. This eScience project will lift the current data handling, statistical model development and computations on large data and federated systems to a new level of integration. It presents a important challenge in health sciences which cannot be addressed without en interdisciplinary team of e-scientists working closely with disease domain epidemiological, clinical and molecular scientists.
Objectives
The eCPC project will develop methods and tools for data integration, algorithms, and probability models to allows for testing of hypothesis regarding:
- How individual variation (e.g. demography, genotypes, molecular profiles, lifestyle, envi- ronment) and prevention strategies (e.g. screening, chemo-prevention, vaccination) affect initiation and detection of cancer.
- How individual variation (e.g. demography, genotypes, molecular profiles from tumor and normal tissues) and treatment strategies (e.g. medications, chemotheraphy, surgery) affect cancer progression and death.
- How novel prevention and treatment strategies super-imposed on the models for cancer initiation, detection and progression can simultanously avoid over-treatment and reduce death from cancer.
Organization
PI's: Juni Palmgren and Jan-Eric Litton
Project leader: Ola Spjuth
Co-leader: Martin Eklund
eCPC is split up over five work packages:
WP1: Platform and infrastructure development
