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Healthcare Yearns for Bright Researchers for Imaging Data

HYBRID

Optimal exploitation of the potential of multimodal and multiparametric imaging requires a new generation of experts trained in the integration of these technologies: this is the objective of the innovative HYBRID training network, which brings together a consortium of academic centers and industrial experts in imaging, from the design of detectors to the analysis of images to extract specific biomarkers guiding personalized medicine.

H2020 FUNDING : Innovative Training Networks - ITN (Marie Skłodowska-Curie Actions)

H2020-MSCA-ITN-2017

Published on 1 October 2017

Presentation 

Modern medicine seeks to personalize diagnosis and treatment to the needs of individual patients. Personalized medicine approaches use non-invasive imaging to detect and characterize disease. While anatomical and molecular imaging systems have become a commodity, these systems have also grown complex. Complexity is further increased by the introduction of combined (hybrid) imaging systems, such as PET/CT, SPECT/CT or PET/MR. Within the context of hybrid imaging, these systems provide multi-parametric image information that has proven promising in rendering diagnoses and subsequent therapeutic management of patients more effective. The growing complexity of diagnostic and therapeutic regimens in light of the drive to integrate multiple layers of biomarker information no longer supports the operation of hybrid imaging modalities by singular specialists, but instead requires a new generation of open-minded, technology-fluent and applications-oriented experts.

HYBRID will help educate future imaging experts in adopting and disseminating such a cross-specialty approach. Our idea for this innovative training network is built on our personal experience and understanding of the importance of quantitative multi-parametric biomarkers in the years to come. We propose a consortium of world-leading imaging experts and partners that present with extended experience in advanced biomarker utilization, from the development of multi-parametric imaging methods and the design and construction of hybrid imaging systems to sourcing non-image based biomarker information. We are supported by vendors of diagnostic hardware and software systems who engage in this multi-disciplinary and cross-specialty effort, as well as by scientific associations and non-governmental entities. Thus, HYBRID provides an exceptional platform to young, ambitious and talented researchers who like to engage in supporting the concept of personalized medicine through multi-parametric data.




Duration

4 ans
Funding

3 858 940,08  €

​Number of partners

12

Starting date​

October 01, 2017


COORDINATOR : Eberhard Karls Universitaet Tuebingen

Joliot Institute Contact (SHFJ/BioMaps) : Claude Comtat  claude.comtat@cea.fr

 webSITE

https://www.hybrid2020.eu/home.html

agreement number H2020 : 764458


About ITN


The Innovative Training Networks (ITN) aim to train a new generation of creative, entrepreneurial and innovative early-stage researchers, able to face current and future challenges and to convert knowledge and ideas into products and services for economic and social benefit. Partnerships take the form of collaborative:

  • European Training Networks (ETN),

  • European Industrial Doctorates (EID),

  • European Joint Doctorates(EJD)

The beneficiary organizations are located in a Member State of the European Union or an associated country and recruit young researchers. Partner organizations can be located in any country and participate in the training of young researchers.