Join the third DIGI-B-CUBE workshop focusing on Biobanking. Biosensing. Bioimaging. – “How digitalization impacts on the Medical Diagnostics Value Chain?”
- Discuss with other experts your innovation barriers and how to overcome them with digital solutions
- Set the stage for funded joint innovation projects between the health and IT sector
- Learn more about DIGI-B-CUBE‘s innovation support services
This workshop is embedded in the framework of the European project DIGI-B-CUBE, of which secpho is a consortium partner. The project provides grants and support to innovative SMEs to develop prototypes, customised products and services to tackle digitalisation challenges within the health sector, across the Bioimaging, Biosensing and Biobanking industries. The workshop is organized by the consortium partner Business Upper Austria.
What is the DIGI-B-CUBE project?
- Aim: Digitally transforming the medical diagnostics value chain by adapting innovations such as artifical intelligence from the IT sector
- Target groups: Small and Medium-Sized Enterprises (SMEs) and other organizations from the health & IT sector
- Methods: workshops, matchmaking, joint innovation projects, coaching
- € 2.7M equity-free funding of up to €60,000 per SME through lump sum vouchers to help SMEs turn their ideas into viable solutions (i.e. new products, services, processes)
- Part of the European Union‘s Horizon 2020 program, May 2019 – April 2022
Draft Program
09:00 Admission
09:15 Opening
09:20 Introduction to DIGI-B-CUBE
09:45 Expert Talk 1: T.B.A
10:00 Expert Talk 2: T.B.A
10:15 Coffee Break
10:35 Workshop in Sub-Groups
11:35 Working Lunch
12:30 Presentation of Results & Discussion
Registration
Registration for this event is free of charge. Please register by completing the form below.
Travel and accommodation: DIGI-B-CUBE travel vouchers available for SME’s, apply here.
For further details, please contact Sabine Runge: sabine.runge@secpho.org.
This workshop is part of the DIGI-B-CUBE programme of which secpho is a consortium partner. This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme, under the Grant Agreement nº 824920.
