Opendata, web and dolomites

ASCAPE SIGNED

Artificial intelligence Supporting CAncer Patients across Europe

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 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.

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

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.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "ASCAPE" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.3.1.5.1.;H2020-EU.3.1.3.2.)

CAPABLE (2020)

CAncer PAtients Better Life Experience

Read More  

LifeChamps (2019)

A Collective Intelligence Platform to Support Cancer Champions

Read More  

CLARIFY (2020)

Cancer Long Survivors Artificial Intelligence Follow Up

Read More