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000882244 0247_ $$2CORDIS$$aG:(EU-Grant)823712$$d823712
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000882244 035__ $$aG:(EU-Grant)823712
000882244 150__ $$aA Centre of Excellence in Computational Biomedicine$$y2019-10-01 - 2023-09-30
000882244 371__ $$aCBK SCI CON LIMITED$$dUnited Kingdom$$ehttp://www.cbkscicon.com$$vCORDIS
000882244 371__ $$aACELLERA LABS SL$$bACELLERA LABS SL$$dSpain$$ehttp://www.acellera.com$$vCORDIS
000882244 371__ $$aUniversity of London - University College London$$bUCL$$dUnited Kingdom$$ehttp://www.ucl.ac.uk/$$vCORDIS
000882244 371__ $$aReprotec UK Limited$$dUnited Kingdom$$vCORDIS
000882244 371__ $$aJANSSEN PHARMACEUTICA NV$$dBelgium$$ehttp://www.janssen.com/$$vCORDIS
000882244 371__ $$aBavarian Academy of Sciences and Humanities$$bBADW$$dGermany$$ehttps://www.badw.de/de/$$vCORDIS
000882244 371__ $$aBARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION$$bBSC$$dSpain$$ehttp://www.bsc.es$$vCORDIS
000882244 371__ $$aVU University Amsterdam$$bVU$$dNetherlands$$ehttp://www.vu.nl/en/$$vCORDIS
000882244 371__ $$aEdinburgh Napier University$$bEdinburgh Napier University$$dUnited Kingdom$$ehttp://www.napier.ac.uk/alumni/Pages/home.aspx$$vCORDIS
000882244 371__ $$aTHE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD$$bUOXF$$dUnited Kingdom$$ehttp://www.ox.ac.uk$$vCORDIS
000882244 371__ $$aUniversity of Bologna$$bUNIBO$$dItaly$$ehttp://www.unibo.it/en/homepage$$vCORDIS
000882244 371__ $$aBULL SAS$$bBULL$$dFrance$$ehttp://www.bull.com$$vCORDIS
000882244 371__ $$aUniversity of Geneva$$bUNIGE$$dSwitzerland$$ehttps://www.unige.ch/$$vCORDIS
000882244 371__ $$aSURFSARA BV$$dNetherlands$$ehttp://www.sara.nl$$vCORDIS
000882244 371__ $$aPompeu Fabra University$$bUPF$$dSpain$$ehttp://www.upf.edu/en/$$vCORDIS
000882244 371__ $$aUniversity of Sheffield$$bUniversity of Sheffield$$dUnited Kingdom$$ehttp://www.sheffield.ac.uk/$$vCORDIS
000882244 372__ $$aH2020-INFRAEDI-2018-1$$s2019-10-01$$t2023-09-30
000882244 450__ $$aCompBioMed2$$wd$$y2019-10-01 - 2023-09-30
000882244 5101_ $$0I:(DE-588b)5098525-5$$2CORDIS$$aEuropean Union
000882244 680__ $$aCompBioMed2 is a proposal for the second phase of the Computational Biomedicine Centre of Excellence (CoE), CompBioMed, an outward facing CoE comprising members from academia, industry and the healthcare sector. CompBioMed has established itself as a hub for practitioners in the field, successfully nucleating a substantial body of research, education, training, innovation and outreach within the nascent field of Computational Biomedicine. Computational Biomedicine is an emergent technology that will enable clinicians to develop and refine personalised medicine strategies ahead of their clinical delivery to the patient. Medical regulatory authorities are currently embracing the prospect of using in silico methods in the area of clinical trials and we intend to be in the vanguard of this activity, laying the groundwork for the application of HPC-based Computational Biomedicine approaches to a greater number of therapeutic areas. The HPC requirements of our users are as diverse as the communities we represent. We support both monolithic codes, potentially scaling to the exascale, and complex workflows requiring support for advanced execution patterns. Understanding the complex outputs of such simulations requires both rigorous uncertainty quantification and the embrace of the convergence of HPC and high performance data analytics (HPDA). CompBioMed2 seeks to combine these approaches with the large, heterogeneous datasets from medical records and from the experimental laboratory to underpin clinical decision support systems. CompBioMed2 will continue to support, nurture and grow our community of practitioners, delivering incubator activities to prepare our most mature applications for wider usage, providing avenues that will sustain CompBioMed2 well-beyond the proposed funding period.
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