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New Challenges for Cancer Systems Biomedicine
The future of oncology seems to lie in Molecular Medicine (MM). MM is a new science based on three pillars. Two of them are evident in its very name and are well known: medical science and molecular biology. However, there is a general unawareness that MM is firmly based on a third, and equally important, pillar: Systems Biomedicine. Currently, this term denotes multilevel, hierarchical models integrating key factors at the molecular, cellular, tissue, through phenotype levels, analyzed to reveal the global behavior of the biological process under consideration. It becomes increasingly evident that the tools to construct such complex models include, not only bioinformatics and modern applied statistics, as is unanimously agreed, but also other interdisciplinary fields of science, notably, Mathematical Oncology, Systems Biology and Theoretical Biophysics.
Farm animal proteomics 2014
Proteomics is the large-scale study of the proteome, i.e. a set of proteins being expressed in a certain fluid, tissue, organ or organism. The value of this advanced technology is being recognised in farm animal and veterinary sciences from 'farm to fork'. The potential of proteomics is unequivocal in holding a significant promise in applications such as vaccine and drug development, physiology, toxicology, animal product quality and food safety. Proteomics has been growing steadily during the last 3-4 years and, as time goes by, proteomics-based studies are more and more common, not just to scientists but to the general public as well, unravelling the full potential of this innovative techn...
Mathematical Reviews
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Euro-Par 2010 - Parallel Processing
Annotation This book constitutes the refereed proceedings of the 16th International Euro-Par Conference held in Ischia, Italy, in August/September 2010. The 90 revised full papers presented were carefully reviewed and selected from 256 submissions. The papers are organized in topical sections on support tools and environments; performance prediction and evaluation; scheduling and load-balancing; high performance architectures and compilers; parallel and distributed data management; grid, cluster and cloud computing; peer to peer computing; distributed systems and algorithms; parallel and distributed programming; parallel numerical algorithms; multicore and manycore programming; theory and algorithms for parallel computation; high performance networks; and mobile and ubiquitous computing.
