Observatorio de I+D+i UPM

Memorias de investigación
Research Project:
p-medicine: From data sharing and integration via IT-technologies and training to personalized medicine
Year:2011
Research Areas
Information
Abstract

Medicine is undergoing a revolution that is transforming the nature of healthcare from reactive to preventive. The changes are catalyzed by a new systems approach to disease which focuses on integrated diagnosis, treatment and prevention of disease in individuals. This will replace our current mode of medicine over the coming years with a personalized predictive treatment. While the goal is clear, the path is fraught with challenges. P-medicine brings together international leaders in their fields to create an infrastructure that will facilitate this translation from current practice to personalized medicine. In achieving this objective p-medicine has formulated a coherent, integrated work plan for the design, development, integration and validation of technologically challenging areas of today. Our emphasis is on formulating an open, modular framework of tools and services, so that p-medicine can be adopted gradually, including efficient secure sharing and handling of large personalized data sets, enabling demanding Virtual Physiological Human (VPH) multi-scale simulations (in silico oncology), building standards-compliant tools and models for VPH research, drawing on the VPH Toolkit and providing tools for large-scale, privacy-preserving data and literature mining, a key component of VPH research. We will ensure that privacy, non-discrimination, and access policies are aligned to maximize protection of and benefit to patients. The p-medicine tools and technologies will be validated within the concrete setting of advanced clinical research. Pilot cancer trials have been selected based on clear research objectives, emphasising the need to integrate multilevel datasets, in the domains of Wilms tumour, breast cancer and leukaemia. To sustain a self-supporting infrastructure realistic use cases will be built that will demonstrate tangible results for clinicians. The project is clinically driven and promotes the principle of open source and open standards.

International
Si
Project type
Proyectos y convenios en convocatorias públicas competitivas
Company
Comisión Europea
Entity Nationality
BELGICA
Entity size
Grande
Granting date
16/12/2010
Participants
  • Director: Victor Manuel Maojo Garcia (UPM)
  • Participante: Raul Alonso Calvo (UPM)
  • Participante: Jose Crespo Del Arco (UPM)
  • Participante: Miguel Garcia Remesal (UPM)
  • Participante: Alberto Anguita Sanchez (UPM)
  • Participante: Jose Maria Barreiro Sorrivas (UPM)
  • Participante: Andres Silva Vazquez (UPM)
  • Participante: David Perez Del Rey (UPM)
  • Participante: Guillermo De la Calle Velasco (UPM)
  • Participante: Diana De la Iglesia Jimenez (UPM)
  • Participante: Martin Molina Gonzalez (UPM)
  • Participante: Angel Lucas Gonzalez Martinez (UPM)
  • Participante: Aurora Perez Perez (UPM)
Research Group, Departaments and Institutes related
  • Grupo de Investigación: Grupo de Informática Biomédica (GIB)
  • Departamento: Inteligencia Artificial
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)