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ASCAPE SIGNED

Artificial intelligence Supporting CAncer Patients across Europe

Total Cost €

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EC-Contrib. €

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Partnership

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 ASCAPE project word cloud

Explore the words cloud of the ASCAPE project. It provides you a very rough idea of what is the project "ASCAPE" about.

quality    breast    near    sufficient    statistics    relapse    skills    universities    diagnosed    data    companies    ascape    artificial    create    complementary    algorithms    sent    stakeholders    balanced    ict    keep    private    lifetime    locally    months    36    ongoing    ageing    training    learning    forecasts    hence    latest    genders    inside    substantially    encouraging    intelligent    services    shared    corresponds    trajectories    age    back    interventions    medical    hospitals    deploy    diagnosis    coverage    psychological    advantage    highlight    status    ill    solutions    people    counselling    diversity    structure    family    infrastructure    big    everyone    literacy    patient    applicability    countries    groups    intelligence    disease    execute    physiological    living    mortality    life    population    patients    designed    absolute    entities    health    competitive    types    machine    improvements    smes    decreasing    guidance    centres    15    piloted    despite    prostate    ai    cancer    identification   

Project "ASCAPE" data sheet

The following table provides information about the project.

Coordinator
GIOUMPITEK MELETI SCHEDIASMOS YLOPOIISI KAI POLISI ERGON PLIROFORIKIS ETAIREIA PERIORISMENIS EFTHYNIS 

Organization address
address: MITHRIDATOU 36-38
city: ATHINA
postcode: 11632
website: www.ubitech.eu

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Greece [EL]
 Total cost 4˙999˙991 €
 EC max contribution 4˙999˙991 € (100%)
 Programme 1. H2020-EU.3.1.5.1. (Improving halth information and better use of health data)
2. H2020-EU.3.1.3.2. (Transferring knowledge to clinical practice and scalable innovation actions)
 Code Call H2020-SC1-DTH-2019
 Funding Scheme RIA
 Starting year 2020
 Duration (year-month-day) from 2020-01-01   to  2022-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    GIOUMPITEK MELETI SCHEDIASMOS YLOPOIISI KAI POLISI ERGON PLIROFORIKIS ETAIREIA PERIORISMENIS EFTHYNIS EL (ATHINA) coordinator 675˙000.00
2    SPHYNX TECHNOLOGY SOLUTIONS AG CH (ZUG) participant 481˙250.00
3    INTRASOFT INTERNATIONAL SA LU (LUXEMBOURG) participant 449˙500.00
4    OREBRO LANS LANDSTING SE (OREBRO) participant 405˙000.00
5    CARE ACROSS LTD UK (LONDON) participant 400˙000.00
6    DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH DE (KAISERSLAUTERN) participant 381˙366.00
7    ATOS SPAIN SA ES (MADRID) participant 346˙875.00
8    ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINON EL (ATHINA) participant 301˙875.00
9    SIEMENS SRL RO (BUCURESTI) participant 279˙750.00
10    PANEPISTIMIO PATRON EL (RIO PATRAS) participant 267˙500.00
11    University of Novi Sad Faculty of Sciences RS (Novi Sad) participant 251˙875.00
12    FUNDACIO CLINIC PER A LA RECERCA BIOMEDICA ES (BARCELONA) participant 202˙500.00
13    FUNDACION ISYS INTERNET SALUD Y SOCIEDAD ES (BARCELONA) participant 201˙500.00
14    IDRYMA TECHNOLOGIAS KAI EREVNAS EL (IRAKLEIO) participant 200˙000.00
15    ARTHUR'S LEGAL BV NL (AMSTERDAM) participant 156˙000.00

Map

 Project objective

The latest cancer statistics highlight encouraging advances in decreasing cancer-related mortality. However, given that one in two people will be diagnosed with cancer in their lifetime, and due to the growing and ageing population, the absolute number of people living with cancer is set to keep increasing substantially in the near future. The main objective of ASCAPE is to take advantage of the recent ICT advances in Big Data, Artificial Intelligence and Machine Learning to support cancer patients’ quality of life and health status. To achieve its objective, ASCAPE will create an open AI infrastructure that will enable health stakeholders (hospitals, research institutions, companies, etc.) to deploy and execute its AI algorithms locally on their private data. Any new knowledge produced by this process will be sent back to the open AI infrastructure. This way the knowledge will be shared among everyone while the medical data will still remain private. The services to be designed, piloted and deployed inside this project will include intelligent interventions for physiological and psychological support, improved patient and family counselling and guidance, early diagnosis and forecasts of ill-health, identification of disease trajectories and relapse, improved health literacy etc. ASCAPE will focus the training of the AI in two types of cancer, breast and prostate. This way, it will achieve sufficient coverage across genders as well as age groups, hence facilitating its ongoing improvements and applicability towards any type of cancer in the future. The ASCAPE project will be developed in 36 months by a competitive consortium of 15 partners from 7 countries, which corresponds to a well-balanced structure, involving big companies, SMEs, research centres and universities. Despite the great diversity of entities within the proposal, ASCAPE partners bring state-of-the-art complementary skills ensuring the ability of the consortium to develop the proposed solutions.

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The information about "ASCAPE" are provided by the European Opendata Portal: CORDIS opendata.

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