DIGI-B-CUBE | Digital Enterprise Innovations for Bioimaging, Biosensing and Biobanking Industries

Summary
DIGI-B-CUBE project aims to unlock the cross-sectoral collaborative potential of SMEs by combining Artificial Intelligence (AI), Cognitive Computing Digital Technologies (CCDT) with the Bioimaging-Biosensing-Biobanking (B-CUBE) and realted industries to deliver market sensitive disruptive technologies and generating innovative solutions that enhance patient-centred diagnostic work-flows, delivered through the improved algorithms for Medical Diagnostics’ efficiency and accuracy. DIGI-B-CUBE will study the characteristics in market dynamics & specificities for innovations created by merging AI, CCDT & B-CUBE and realted industries. By providing a framework for a more structured cross-sectoral and cross-border collaboration, that manages all the complex work-flows within the process, DIGI-B-CUBE instantiates the mechanisms to ensure the long-term sustainability of the action through collaborations of the participating clusters with hospitals, academia, industry, investors, business angels, managing authorities of the national innovation agencies and the European Commission support measures (such as EIT, ESIF). The main objective of this project is to provide key digital solutions for the reconfiguration of the Medical Diagnostics and related value chains towards a Health Economy 4.0 with a special focus on Biobanking, Bioimaging and Biosensing and realted industries. Activities financed by the ESIF in the participating regions as part of the Smart Specialisation Strategies will be bundled in cooperation with the responsible managing authorities in addition to the innovation voucher scheme for SMEs. By integrating innovations in IT into Bioimaging, Biosensing and Biobanking and realted industries, this project will accelerate the goal of personalised medicine that can eventually offer patients with fast and efficient diagnosis-treatment-healthcare system.
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Web resources: https://cordis.europa.eu/project/id/824920
Start date: 01-05-2019
End date: 30-04-2022
Total budget - Public funding: 5 103 161,00 Euro - 4 989 000,00 Euro
Cordis data

Original description

DIGI-B-CUBE project aims to unlock the cross-sectoral collaborative potential of SMEs by combining Artificial Intelligence (AI), Cognitive Computing Digital Technologies (CCDT) with the Bioimaging-Biosensing-Biobanking (B-CUBE) and realted industries to deliver market sensitive disruptive technologies and generating innovative solutions that enhance patient-centred diagnostic work-flows, delivered through the improved algorithms for Medical Diagnostics’ efficiency and accuracy. DIGI-B-CUBE will study the characteristics in market dynamics & specificities for innovations created by merging AI, CCDT & B-CUBE and realted industries. By providing a framework for a more structured cross-sectoral and cross-border collaboration, that manages all the complex work-flows within the process, DIGI-B-CUBE instantiates the mechanisms to ensure the long-term sustainability of the action through collaborations of the participating clusters with hospitals, academia, industry, investors, business angels, managing authorities of the national innovation agencies and the European Commission support measures (such as EIT, ESIF). The main objective of this project is to provide key digital solutions for the reconfiguration of the Medical Diagnostics and related value chains towards a Health Economy 4.0 with a special focus on Biobanking, Bioimaging and Biosensing and realted industries. Activities financed by the ESIF in the participating regions as part of the Smart Specialisation Strategies will be bundled in cooperation with the responsible managing authorities in addition to the innovation voucher scheme for SMEs. By integrating innovations in IT into Bioimaging, Biosensing and Biobanking and realted industries, this project will accelerate the goal of personalised medicine that can eventually offer patients with fast and efficient diagnosis-treatment-healthcare system.

Status

CLOSED

Call topic

INNOSUP-01-2018-2020

Update Date

27-10-2022
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