
Computational Biomedicine
Computational Methods, based on human biology, are now reaching maturity in the biomedical domain, rendering predictive models of health and disease increasingly relevant to clinical practice by providing a personalized aspect to treatment. Computer based modelling and simulation is well established in the physical sciences and engineering, where the use of high performance computing (HPC) is now routine. CompBioMed is a user-driven Centre of Excellence in Computational Biomedicine, to nurture and promote the uptake and exploitation of high performance computing within the biomedical modelling community. Our user communities come from academia, industry and clinical practice.
Latest CompBioMed News
How EU projects work on supercomputing applications to help contain the corona virus pandemic
This article gives an overview over the various ways in which EU projects are using supercomputing applications to tackle and support the global challenge of containing the corona virus pandemic.
VECMA and CompBioMed join forces to predict the impact of COVID
Scientists from VECMA and CompBioMed analyzed a model that predicts the spread of the corona virus by undertaking an extensive parametric sensitivity analysis and uncertainty quantification of the publicly available code.
ETP4HPC handbook 2020 released
The 2020 edition of the ETP4HPC Handbook of HPC projects is available, including – besides many other intiatives – introductions to all the 14 CoEs and FocusCoE.
CoEs at the Supercomputing 2020
Find out how the CoEs contribute to this year’s virtual Supercomputing Conference
Looking for news on all CoEs? Visit the >> CoE news page
CompBioMed on Twitter
RT @alcesflight: We're almost to the end of our series on cloud HPC education! Thanks to the work done by @bio_comp the nUCLeus cloud envi…
Read MoreRT @VECMA4: Join us live now!
Read MoreThe next post on our #scalablity channel is from @teachjl from @unige_en on parallelisation of the @Palabos1 code for use with #CPU and #GPU accelerated #HPC. Join the discussion in our #Scalability #...
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