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Biomedicine is a field where the use of information is becoming increasingly important. In this context the application of computational methods is not only key for the collection, management and analysis of all types of biomedical data but it is part of the essence of this science. Widely speaking, computational biomedicine represents the intersection between biomedical and computational sciences.
Computational sciences provide biomedicine with an integrative environment that facilitates the understanding of biological processes in each of the organizational levels of living matter and, more importantly, of the intricate interactions that exist between them.
The interrelation between scientific theories, laboratory research and computation will accelerate the understanding of biology, revolutionizing medicine and health sciences
At present, the most important developments in science are happening at the intersection of the different disciplines with computation. A change or transition is taking place from the application of informatics to facilitate scientists’ research from the effective integration of the concepts, methods and computational tools into the very essence of Science. This can represent the basis of a new scientific revolution with deep impact on education. It is very probable that knowledge and skills in computational techniques become a requirement for a new generation of biomedical scientists to be able to carry out their work.
Therefore, besides the great technological and scientific challenges raised, a particularly important one for this area is the development of educational programs in computational biomedicine. Most of the researchers that work nowadays in this discipline have arrived to it through long and complex formative programs. It would be very important to lay the foundations to establish truly multisisciplinary programs that can provide solid basis to work in this emergent area in the Spanish universities.
To address various aspects of computational biomedicine, from basic research in computational science to applied research, for the development of methods and tools that help solve scientific problems in biomedicine in the context of personalised medicine, playing at the same time a key role in the education of researchers in this area and in the training of health professionals and researchers on the basic techniques of the management of biomedical information.
Last update Sep. 2011