Explore the words cloud of the DeepHealth project. It provides you a very rough idea of what is the project "DeepHealth" about.
The following table provides information about the project.
EVERIS SPAIN SL
|Coordinator Country||Spain [ES]|
|Total cost||14˙642˙324 €|
|EC max contribution||12˙774˙824 € (87%)|
1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
|Duration (year-month-day)||from 2019-01-01 to 2021-12-31|
Take a look of project's partnership.
|1||EVERIS SPAIN SL||ES (MADRID)||coordinator||741˙697.00|
|2||COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES||FR (PARIS 15)||participant||1˙570˙020.00|
|3||PHILIPS MEDICAL SYSTEMS NEDERLAND BV||NL (BEST)||participant||941˙576.00|
|4||UNIVERSITAT POLITECNICA DE VALENCIA||ES (VALENCIA)||participant||907˙129.00|
|5||CENTRO DI RICERCA, SVILUPPO E STUDI SUPERIORI IN SARDEGNA SOCIETÀ A RESPONSABILITÀ LIMITATA||IT (PULA CAGLIARI)||participant||832˙500.00|
|6||BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION||ES (BARCELONA)||participant||798˙062.00|
|7||UNIVERSITA DEGLI STUDI DI TORINO||IT (TORINO)||participant||713˙250.00|
|8||SIVECO ROMANIA SA||RO (BUCURESTI)||participant||671˙125.00|
|9||THALES SIX GTS FRANCE SAS||FR (GENNEVILLIERS)||participant||651˙311.00|
|10||OTTO-VON-GUERICKE-UNIVERSITAET MAGDEBURG||DE (MAGDEBURG)||participant||636˙875.00|
|11||PRO DESIGN Electronic GmbH||DE (Bruckmuehl)||participant||584˙850.00|
|12||UNIVERSITA DEGLI STUDI DI MODENA E REGGIO EMILIA||IT (MODENA)||participant||561˙031.00|
|13||ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE||CH (LAUSANNE)||participant||522˙543.00|
|14||WINGS ICT SOLUTIONS INFORMATION & COMMUNICATION TECHNOLOGIES IKE||EL (NEA SMYRNI)||participant||444˙937.00|
|15||STELAR SECURITY TECHNOLOGY LAW RESEARCH UG||DE (HAMBURG)||participant||398˙250.00|
|16||AZIENDA OSPEDALIERA CITTA DELLA SALUTE E DELLA SCIENZA DI TORINO||IT (TORINO)||participant||381˙250.00|
|17||TREE TECHNOLOGY SA||ES (SIERO)||participant||322˙000.00|
|18||FUNDACION PARA EL FOMENTO DE LA INVESTIGACION SANITARIA Y BIOMEDICA DE LA COMUNITAT VALENCIANA||ES (VALENCIA)||participant||317˙375.00|
|19||SPITALUL CLINIC PROF DR THEODOR BURGHELE||RO (BUCARESTI)||participant||293˙750.00|
|20||CENTRE HOSPITALIER UNIVERSITAIRE VAUDOIS||CH (LAUSANNE)||participant||199˙038.00|
|21||REGION STOCKHOLM||SE (STOCKHOLM)||participant||150˙000.00|
|22||KAROLINSKA INSTITUTET||SE (STOCKHOLM)||participant||136˙250.00|
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.
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The information about "DEEPHEALTH" are provided by the European Opendata Portal: CORDIS opendata.