Ziel
The GARDair project will optimize and validate the first predictive assay for respiratory sensitization and bring it to market. This innovative in vitro test builds on the successes of its forerunner – the GARDskin assay, which has been shown to hold the highest predictive power (89%) of skin sensitizers amongst all commercially available methods.
The GARD technology offers an unparalleled way to make hazard predictions, as it uses a human dendritic cell line to monitor immunological responses to chemical exposure. This approach offers not only higher predictive accuracy than in vivo tests, but also eliminates the need for animal testing at the same time as it cuts costs and experimental time.
The need for ethical, accurate and economical safety assessment procedures is growing in parallel with the amount of new chemicals introduced yearly into our environment by the pharma, cosmetics and chemical industries. In order to protect both workers and customers from chemically induced sensitization, EU legislation dictates that all chemicals must be sensitization tested within the next two decades.
The EC and ECVAM have a leading role within the OECD to develop test guidelines for skin sensitization hazard identification. Similar steps have not yet been taken in the area of respiratory sensitization due to the lack of available test methods to identify such compounds. The GARDair assay thus holds the power to drive the EU regulatory framework by entering a globally uncontested market space.
If successful, the project will allow SenzaGen to become a key player in any application of animal-free, cell-based systems, aiming to assess sensitization capabilities of various compounds and to fully realize its business development strategy.
Wissenschaftliches Gebiet
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
Programm/Programme
Thema/Themen
Aufforderung zur Vorschlagseinreichung
Andere Projekte für diesen Aufruf anzeigenUnterauftrag
H2020-SMEINST-2-2016-2017
Finanzierungsplan
SME-2 - SME instrument phase 2Koordinator
223 81 LUND
Schweden
Die Organisation definierte sich zum Zeitpunkt der Unterzeichnung der Finanzhilfevereinbarung selbst als KMU (Kleine und mittlere Unternehmen).