CLOUDX-I
Cloud Based Software Solution for Next Generation Diagnostics in Infectious Diseases
| Coordinatore | CORK INSTITUTE OF TECHNOLOGY
Organization address
address: ROSSA AVENUE BISHOPSTOWN contact info |
| 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
| # | ||||
|---|---|---|---|---|
| 1 |
CORK INSTITUTE OF TECHNOLOGY
Organization address
address: ROSSA AVENUE BISHOPSTOWN contact info |
IE (CORK) | coordinator | 430˙767.03 |
| 2 |
NSILICO LIFE SCIENCE LIMITED
Organization address
address: GRANGE ERIN LODGE GRANGE ROAD contact info |
IE (DOUGLAS) | participant | 556˙049.75 |
| 3 |
THE UNIVERSITY OF EDINBURGH
Organization address
address: OLD COLLEGE, SOUTH BRIDGE contact info |
UK (EDINBURGH) | participant | 327˙483.20 |
Mappa
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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.'