Capturing and quantitative analysis of multi-scale multi-channel diagnostic data.

Projektinformationen

CARDIALLY

ID Finanzhilfevereinbarung: 691051

DOI 10.3030/691051

Projekt abgeschlossen

EK-Unterschriftsdatum 4 November 2015

Startdatum 1 November 2015

Enddatum 31 Oktober 2019

Finanziert unter

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Gesamtkosten € 234 000,00

EU-Beitrag € 234 000,00

Koordiniert durch

ASTON UNIVERSITY
United Kingdom

Ziel

We are proposing a four-year programme of knowledge transfer between Aston University (ASTON, UK), Universita Degli Studi Di Brescia (UNIBS, Italy), Diasens (Diasens, Serbia), and Novosibirsk State University (NSU, Russia). The aim of our interdisciplinary proposal is to bring together the unique expertise of participants to solve the important and challenging problem of heart failure prediction and diagnostic. Our transformative approach combines advanced methods of complex data analysis and novel diagnostic technologies to prevent highly damaging consequences of this deadly and disabling disease. Strong interdisciplinary nature of the project and a balance of industrial applications and fundamental science ensure a wide range of skill and knowledge transfer within the consortium. Working in close collaboration with our SME partner will allow early career researchers to gain an invaluable experience in bringing research to real life applications and to broaden their future career choices. The research has significant potential for life-changing applications in cardiology, especially relevant to adult and aging population. Solution to this problem will help to cut costs in European health care systems and improve quality of life of millions of people.

Wissenschaftliches Gebiet

• natural sciences › computer and information sciences › data science
• engineering and technology › electrical engineering, electronic engineering, information engineering › electronic engineering › sensors › optical sensors
• engineering and technology › medical engineering › medical laboratory technology › diagnostic technologies
• medical and health sciences › clinical medicine › cardiology
• natural sciences › physical sciences › optics › laser physics

Programm/Programme

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme
• H2020-EU.1.3.3. - Stimulating innovation by means of cross-fertilisation of knowledge

Thema/Themen

• MSCA-RISE-2015 - Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE)

Aufforderung zur Vorschlagseinreichung

H2020-MSCA-RISE-2015

Finanzierungsplan

MSCA-RISE - Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE)

Koordinator

ASTON UNIVERSITY

• Netto-EU-Beitrag: € 94 500,00
• Adresse: ASTON TRIANGLE ; B4 7ET Birmingham ; Vereinigtes Königreich
• Region: West Midlands (England) › West Midlands › Birmingham
• Aktivitätstyp: Higher or Secondary Education Establishments
• Gesamtkosten: € 94 500,00

Beteiligte (2)

UNIVERSITA DEGLI STUDI DI BRESCIA

Italien

• Netto-EU-Beitrag: € 63 000,00
• Adresse: PIAZZA MERCATO 15 ; 25121 Brescia
• Region: Nord-Ovest › Lombardia › Brescia
• Aktivitätstyp: Higher or Secondary Education Establishments
• Gesamtkosten: € 63 000,00

DIASENS DOO BEOGRAD

Serbien

• Netto-EU-Beitrag: € 76 500,00
• Adresse: MIHAJLA PETROVICA ALASA 12-14 ; 11000 BEOGRAD
• KMU Die Organisation definierte sich zum Zeitpunkt der Unterzeichnung der Finanzhilfevereinbarung selbst als KMU (Kleine und mittlere Unternehmen). Ja:
  Region
  Србија - север › Београдски регион › Београдска област
• Region: Србија - север › Београдски регион › Београдска област
• Aktivitätstyp: Private for-profit entities (excluding Higher or Secondary Education Establishments)
• Gesamtkosten: € 76 500,00

Partner (1)

Partner

Partnerorganisationen tragen zur Umsetzung der Aktion bei, unterzeichnen jedoch nicht die Finanzhilfevereinbarung.

NOVOSIBIRSK STATE UNIVERSITY

Russland

• Netto-EU-Beitrag: € 0,00
• Adresse: PIROGOVA 2 ; 630090 NOVOSIBIRSK
• Aktivitätstyp: Higher or Secondary Education Establishments
• Gesamtkosten: Keine Daten