Presentation - Mision and Objectives

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| Vision | Mission | Objectives |


The understanding of biological phenomena requires the integration of the information obtained in all levels from the molecular and genetic to the population level including all intermediate levels such as cellular, tissue, organ and individual levels. For each of these the amount of information generated nowadays in research is growing exponentially.


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.


  1. To continue the work started by the RETIC INBIOMED (2002 – 2006) that was assessed with the maximum mark (EXCELLENT) at its completion.
  2. To provide a computational answer in three key scientific fields for the advancement of personalised medicine:
    • Disease-omics, facilitating the understanding of diseases at a molecular level.
    • Pharma-informatics, providing support to the processes of discovery, development and assessment of the use of drugs.
    • InfoPOC, favouring the support to clinical decision making at the point of care (POC).
  3. To integrate the new computational developments of the network and to adapt others from the RETIC INBIOMED in the technological platform of the National Bioinformatics Institute (INB). To this purpose the methods and tools of the INB will be complemented:
    • Adapting them to new needs.
    • Developing complementary modules.
    • Developing new systems.
  4. To constitute the COMBIOMED-INB platform into the national and international point of reference on computational biomedicine, providing solutions to the computational challenges of basic and translational research and clinical practice on individualised medicine.
  5. To provide leadership in research in Europe. Contributing to consolidate a position already acquired at an international level, in the biomedical informatics area as well as in the bioinformatics and computational biology domains.
Last update Sep. 2011