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191 202 30 3 ; S ; Larrañaga P, Calvo B, Santana R, Bielza C, Galdiano J, Inza I, Lozano JA, Armañanzas R, Santafé G, Perez A, Robles V (2006) Machine learning in bioinformatics. Brief Bioinform 7(1):86–112 ; [EN] We present an agent-based distributed decision support system for the diagnosis and prognosis of brain tumors developed by the HealthAgents project. HealthAgents is a European Union funded research project, which aims to enhance the classification of brain tumors using such a decision support system based on intelligent agents to securely connect a network of clinical centers. The HealthAgents system is implementing novel pattern recognition discrimination methods, in order to analyze in vivo Magnetic Resonance Spectroscopy (MRS) and ex vivo/in vitro High Resolution Magic Angle Spinning Nuclear Magnetic Resonance (HR-MAS) and DNA micro-array data. HealthAgents intends not only to apply forefront agent technology to the biomedical field, but also develop the HealthAgents network, a globally distributed information and knowledge repository for brain tumor diagnosis and prognosis. First and foremost, we profoundly thank the HEALTHAGENTS Consortium who are ultimately the people in charge of this research endeavor. Without their help and consideration, this article would certainly not have been possible. Second, we thank Francesc Estanyol, Xavier Rafael Palou and Roman Roset for their crucial contribution in the development of the prototype of HEALTHAGENTS, Tiphaine Dalmas for the development of the EbSS, and Jan Luts and Javier Vicente for their comments to the machine learning section. Third, we express our gratitude to the anonymous reviewers who have provided us with feedback to improve the overall quality of the final manuscript. Access to the source code for the Interpret DSS and GUI and for some preprocessing modules is gratefully acknowledged to the Interpret partners. This research has been carried out under the HEALTHAGENTS research grant, funded by the Information Society Technologies priority of ...

[EN] We present an agent-based distributed decision support system for the diagnosis and prognosis of brain tumors developed by the HealthAgents project. HealthAgents is a European Union funded research project, which aims to enhance the classification of brain tumors using such a decision support system based on intelligent agents to securely connect a network of clinical centers. The HealthAgents system is implementing novel pattern recognition discrimination methods, in order to analyze in vivo Magnetic Resonance Spectroscopy (MRS) and ex vivo/in vitro High Resolution Magic Angle Spinning Nuclear Magnetic Resonance (HR-MAS) and DNA micro-array data. HealthAgents intends not only to apply forefront agent technology to the biomedical field, but also develop the HealthAgents network, a globally distributed information and knowledge repository for brain tumor diagnosis and prognosis. ; First and foremost, we profoundly thank the HEALTHAGENTS Consortium who are ultimately the people in charge of this research endeavor. Without their help and consideration, this article would certainly not have been possible. Second, we thank Francesc Estanyol, Xavier Rafael Palou and Roman Roset for their crucial contribution in the development of the prototype of HEALTHAGENTS, Tiphaine Dalmas for the development of the EbSS, and Jan Luts and Javier Vicente for their comments to the machine learning section. Third, we express our gratitude to the anonymous reviewers who have provided us with feedback to improve the overall quality of the final manuscript. Access to the source code for the Interpret DSS and GUI and for some preprocessing modules is gratefully acknowledged to the Interpret partners. This research has been carried out under the HEALTHAGENTS research grant, funded by the Information Society Technologies priority of the European Union Sixth Framework Programme as an Specific Targeted Research Project with contract no.: IST-2004-27214 (2006– 2008). ; González-Vélez, H.; Mier, M.; Julià-Sapé, M.; Arvanitis, TN.; García ...

The e-IRG Roadmap 2012 outlines a need for a European "e-Infrastructure Commons" for knowledge, innovation and science in order to meet the challenges of implementing the EU's 2020 Strategy. To implement such an e-Infrastructure Commons, a high degree of collaboration and standardisation is required. Furthermore, to provide users with leading edge services, a constant innovation at all levels is necessary. A certain degree of competition helps to ensure high quality of services and effective service provision. As a living ecosystem, an e-Infrastructure Commons must be flexible and able to change dynamically, efficiently, and in a future-proof manner. e-Infrastructures for research will only provide real value if they can provide services which are way ahead of what commercial providers can offer. In order to achieve all this, an ecosystem of different organisations is needed, both at the national and international levels, each with their own focus but also with effective coordination between them.