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Deep-Learning and HPC to Boost Biomedical Applications for Health


Start Date
End Date
Total Funding
€ 14 642 324
Funding Programme
European Countries Involved

Health scientific discovery and innovation are expected to quickly move forward under the so called “fourth paradigm of science”, which relies on unifying the traditionally separated and heterogeneous high-performance computing and big data analytics environments. Under this paradigm, the DeepHealth project will provide HPC computing power at the service of biomedical applications; and apply Deep Learning (DL) techniques on large and complex biomedical datasets to support new and more efficient ways of diagnosis, monitoring and treatment of diseases. DeepHealth will develop a flexible and scalable framework for the HPC \ Big Data environment, based on two new libraries: the European Distributed Deep Learning Library (EDDLL) and the European Computer Vision Library (ECVL). The framework will be validated in 14 use cases which will allow to train models and provide training data from different medical areas (migraine, dementia, depression, etc.). The resulting trained models, and the libraries, will be integrated and validated in 7 existing biomedical software platforms, which include: a) commercial platforms (e.g. PHILIPS Clinical Decision Support System from or THALES SIX PIAF; and b) research oriented platforms (e.g. CEA`s ExpressIF™ or CRS4`s Digital Pathology). Impact is measured by tracking the time-to-model-in-production (ttmip). Through this approach, DeepHealth will also standardise HPC resources to the needs of DL applications, and underpin the compatibility and uniformity on the set of tools used by medical staff and expert users. The final DeepHealth solution will be compatible with HPC infrastructures ranging from the ones in supercomputing centers to the ones in hospitals. DeepHealth involves 21 partners from 9 European Countries, gathering a multidisciplinary group from research organisations (9), health organisations (4) as well as (4) large and (4) SME industrial partners, with strong commitment towards innovation, exploitation and sustainability.

Project partners

Tree Technology Sa
Wings Ict Solutions Information & Communication Technologies Ike
Centro Di Ricerca
Sviluppo E Studi Superiori In Sardegna Società A Responsabilità Limitata
Otto-Von-Guericke-Universitaet Magdeburg
Thales Six Gts France Sas
Commissariat A L Energie Atomique Et Aux Energies Alternatives
Software Imagination & Vision Srl
Stelar Security Technology Law Research Ug (Haftungsbeschrankt) Gmbh
Universita Degli Studi Di Torino
Ecole Polytechnique Federale De Lausanne
Spitalul Clinic Prof Dr Theodor Burghele
Centre Hospitalier Universitaire Vaudois
Siveco Romania Sa
Pro Design Electronic Gmbh
Fundacion Para El Fomento De La Investigacion Sanitaria Y Biomedica De La Comunitat Valenciana
Azienda Ospedaliera Citta Della Salute E Della Scienza Di Torino
Karolinska Institutet
Universitat Politecnica De Valencia
Region Stockholm
Philips Medical Systems Nederland Bv
Universita Degli Studi Di Modena E Reggio Emilia
Barcelona Supercomputing Center - Centro Nacional De Supercomputacion
Everis Spain Sl

Alzheimer Europe's database on research projects was developed as part of the 2020 Work Plan which received funding under an operating grant from the European Union’s Health Programme (2014–2020).