Cel
Molecular analysis of exhaled breath is a new frontier in medical testing with an enormous potential for monitoring respiratory disease.
Breath tests are non-invasive and require minimal patient effort. This makes them applicable in a wide range of settings varying from the
intensive care unit (ICU) to home. Respiratory infections are the primary cause of death in ICU. More than half of the patients in ICUs
worldwide suffer from infections, which lengthen their hospital stays and increase their mortality rate. Timely detection and treatment is
important and monitoring infection via breath analysis will have a major impact on healthcare. Electronic nose sensor technology is being
developed but there is a need for clinical validation. Also it is not always clear to which specific compounds these sensors are sensitive. In
this proposal the focus is on developing a sensor technique, where measurements are obtained and processed at the bedside. This
solution will be dedicated to the detection of infection from breath. A synergistic approach is proposed between sensor technology
development, clinical validation and complex data interpretation. Knowledge will be exchanged between an industrial partner (Philips, NL)
strongly involved in the healthcare and well-being markets, two academic partners (University of Manchester, UK, Academic Medical
Centre, NL) that have an impressive track record in breath analysis research in a clinical environment and a research institution (University of Twente, NL) that has promising potential on bedside gas sensor technology that can be tailored to compounds of interest. The inter-sectorial
knowledge transfers as defined in this proposal are key to the success of this ambitious goal. The project consists of 6 highly multidisciplinary
work packages, which involve sensor development, clinical measurements and validation studies and the development of
complex data analysis tools.
Dziedzina nauki
- natural sciencescomputer and information sciencesdata science
- social sciencessociologydemographymortality
- medical and health sciencesclinical medicinecritical care medicine
- medical and health scienceshealth sciencesinfectious diseasesRNA virusescoronaviruses
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
Zaproszenie do składania wniosków
FP7-PEOPLE-2013-IAPP
Zobacz inne projekty w ramach tego zaproszenia
System finansowania
MC-IAPP - Industry-Academia Partnerships and Pathways (IAPP)Koordynator
1105AZ Amsterdam
Niderlandy