CLOUDX-I

Cloud Based Software Solution for Next Generation Diagnostics in Infectious Diseases

Coordinatore	CORK INSTITUTE OF TECHNOLOGY    more  Organization address address: ROSSA AVENUE BISHOPSTOWN city: CORK contact info Titolo: Dr. Nome: Roy Cognome: Sleator Email: send email Telefono: +353 21 4335405
Nazionalità Coordinatore	Ireland [IE]
Totale costo	1˙314˙300 €
EC contributo	1˙314˙300 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2012-IAPP
Funding Scheme	MC-IAPP
Anno di inizio	2013
Periodo (anno-mese-giorno)	2013-01-07   -   2017-01-06

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	CORK INSTITUTE OF TECHNOLOGY  Organization address address: ROSSA AVENUE BISHOPSTOWN city: CORK contact info Titolo: Dr. Nome: Roy Cognome: Sleator Email: send email Telefono: +353 21 4335405	IE (CORK)	coordinator	430˙767.03
2	NSILICO LIFE SCIENCE LIMITED  Organization address address: GRANGE ERIN LODGE GRANGE ROAD city: DOUGLAS contact info Titolo: Dr. Nome: Brian Cognome: Kelly Email: send email Telefono: +353 87 9967999	IE (DOUGLAS)	participant	556˙049.75
3	THE UNIVERSITY OF EDINBURGH  Organization address address: OLD COLLEGE, SOUTH BRIDGE city: EDINBURGH postcode: EH8 9YL contact info Titolo: Ms. Nome: Joanna Cognome: Wielgo Email: send email Telefono: +44 131 2429422	UK (EDINBURGH)	participant	327˙483.20

Mappa

 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

 Obiettivo del progetto (Objective)

'Infection is a leading cause of morbidity worldwide and incurs huge economic costs for both patient diagnosis and hospitalisation. Traditional wet-lab culture techniques often do not recognise particular bacterial strains such as the recently identified Campylobacter ureolyticus nor do they incorporate the resulting host response. In silico molecular detection methods flag such biomarkers and can facilitate rapid, efficient and accurate diagnosis. Major challenges in the widespread adoption of such techniques exist due to inter alia their complex computational characteristics, the need for software tools that are usable for both researchers and clinicians and the need for software solutions that are secure and auditable, providing full traceability and provenance of data. Therefore, the principal Scientific & Technological objective is to develop in silico techniques that can support rapid molecular diagnosis of infection and to embed these techniques in an efficient, usable, auditable and secure end to end diagnostic process.'