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INNOLABS

Nettside

http://www.innolabs.io/

Prosjektpartnere

Norway Health Tech, Norway
Berlin Partner, Germany
Campania BioScience, Italy
Cap Digital, France
Cluster de Salud de Castilla y Leon BIOTECYL, Spain
Eurob Creative, Spain
Health ClusterNET, United Kingdom
Interizon Foundation, Poland

Finansieringspartnere

European Union Horizon 2020 programme

Kontaktinformasjon

Sergio Ferreira, Project Manager
sergio.ferreira@norwayhealthtech.com

INNOLABS aims at fostering collaboration, the transfer of knowledge and opportunities among SMEs from different countries and sectors to develop, improve and deliver innovative technologies on mHealth, personalized healthcare and ageing populations.

On the 1st of January 2017 INNOLABS started supporting European small and medium sized enterprises with €5 million in total, granted by the European Commission with the objective to deliver new products and services to the healthcare sector. The project encourages cross capacity collaboration between ICT, Health , BIO and Medicine sectors for new emerging industries in personalized healthcare.

Together with it’s seven partners Norway Health Tech will deliver the keys to unlock the potential of SMEs via three main objectives:

  • Test and validate optimal support measures for taking merged ICT and biomedical research products and services to market by comparing measures for traditional value chains with new fast lane measures
  • Increase the competitiveness of SMEs by using targeted support mechanisms that generate added value encompassing expert knowledge, new partnerships and market optimization of products
  • Secure new funding streams to facilitate sustainable cycles of collaborative innovation by SMEs

By organizing idea contests, hackathons, student boot camps and open calls, INNOLABS supports projects all over Europe. More than 100 SMEs have been selected up to now to be beneficiaries of the INNOLABS assistance, promoting their acceleration monetarily and with innovation services.

 

The INNOLABS project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 691556.

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