Stakeholders Catalogue

Founded in 2000, MEDICALPS is cluster dedicated to healthcare technologies located in the heart of the French Alps, one of the most vibrant region in France regarding its economy, the number of research centers, healthcare facilities, and the number of high-technology industry leaders. This crossfertilized ecosystem with a prestigious history of scientific discoveries, clinical expertise and engineering innovations aims to shape the future of the healthcare experience. MEDICALPS gathers over 130 members including world-class research centers, university and healthcare facilities, industry leaders and numerous startups. Our members develop and deploy preventive solutions, personalized therapeutics and home care monitoring systems to improve patient outcomes. Those smart medical solutions cover a diverse range of applications such as diagnostics, surgical robots, imaging, drug delivery systems, implants, e-health, software, therapeutics and biotechnologies. Since 2020, MEDICALPS is also operating Medytec, the hub of health technologies in Grenoble Alps

With its international outlook, Auvergne-Rhône-Alpes boasts many assets for developing fruitful relationships with its partners.

As France's leading industrial region, Auvergne-Rhône-Alpes relies on the excellence of its researchers and the innovation of its companies to be a pioneer in forward-looking fields such as digital technology, hydrogen, microelectronics, health industry and industry 5.0.

A major tourism region, Auvergne-Rhône-Alpes offers exceptional natural landscapes with rivers, lakes, valleys, and mountains. This priceless heritage creates many opportunities to develop the attractiveness and economic dynamism of the area.

Faced with the major challenges of our time, the Auvergne-Rhône-Alpes Region aims to preserve and strengthen these many assets, to position itself as a role model in Europe and the world.

The North East Regional Innovative Cluster for Structural and Molecular Imaging (IMAGO-MOL Cluster) stands as the sole medical imaging cluster in Romania and the European Union. It operates as a non-governmental, non-profit organization with the core objectives of enhancing the innovation competitiveness of its members and bolstering the economic competitiveness of the North East Region within the domain of medical imaging. The IMAGO-MOL Cluster actively contributes to the advancement of precision medicine in the North East Region and promotes the digitalization of the healthcare ecosystem.

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IMAGO-MOL serves as an umbrella organization for more 70 promoters such as R&D organizations and academia, hospitals, companies active in ICT and health sectors, as well as associations dedicated to patient advocacy or medical research, the catalyst being the North East Regional Development Agency. Notably, IMAGO-MOL holds the ESCA gold label.

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Currently, IMAGO-MOL is member of CEBR, EUREGHA and is engaged in implementing TRACE-MED demo case under the Smart Health Pilot of the Vanguard Initiative. It is also the founding member of the MEDIC-NEST Meta-Cluster in Precision Medicine and holds associate membership in the Digital Innovation Zone Association – the regional hub for digitalization.

Cognodata has 22 years of experience developing Artificial Intelligence solutions for different sectors around the concepts of customer intelligence and patient experience. Cognodata has a very strong R&D Department and collaborates with several universities in Europe and USA to develop cutting edge AI algorithms. More specifically, we have a strong experience in the development of Machine Learning solutions in the Health sector working for large Hospital groups such as Grupo Ribera Salud, Grupo Recoletas, Viamed, etc.  We also have developed several projects with the Spanish Ministry of Innovation, through the organizations CDTI and Red.es,  to perform R&D in AI for Health. Some of these projects are in collaboration with the national respiratory association SEPAR, and the regional respiratory association SOGAPAR.  The Cognodata team has extensive experience in developng AI algorithms and constructing predictive models at the core of P4 Medicine.