Objetivo
Economical and health interests of skin problems are fast growing issues in Europe, following the remarkable extension in life expectancy in western countries, together with the increased awareness of UV radiation risks. Personalized health care approach has been discussed over the past few years and had been accompanied by developing innovative technologies capable of identifying specific biomarkers, supporting a personalized diagnosis and treatments, especially concerning bio-compatibility of drugs. Skin Treat intends to develop and validate nano-chemical and bio- technologies to achieve an accurate matching of drugs, and drug delivery vehicles, to skin diseases and sub pathogenic skin conditions in their individual context. The project will design novel generation of pharmaceutical products, as well as consumer personalized service, in order to fit customers’ tailored needs with a support of strategic consortium based on partnership among SMEs and research organizations. The development of personalized skin therapy protocols requires achieving an accurate diagnostics of skin condition and an extensive analysis of biological markers. Non invasive methods as well as minimal invasive skin sampling, will support the establishment of a range of biological profiles corresponding to skin diseases and skin sub pathologic conditions. Statistical processing of these data will allow defining biomarkers patterns specifically associated with given clinical conditions. A bio-informatics data mining protocol will be elaborated, together with multifunctional biomarker analysis software, to build a refined, personalized diagnosis method. Finally, the computer data analysis will yield a decision support system (DSS) to assist dermatologists, chemist and clients for prescription of personalized treatment. Skin Treat concept will be evaluated by a wet pilot study of the whole ervice chain on a few, selected skin disorders like psoriasis, contact dermatitis, and UV skin photo-aging damages.
Ámbito científico (EuroSciVoc)
CORDIS clasifica los proyectos con EuroSciVoc, una taxonomía plurilingüe de ámbitos científicos, mediante un proceso semiautomático basado en técnicas de procesamiento del lenguaje natural.
CORDIS clasifica los proyectos con EuroSciVoc, una taxonomía plurilingüe de ámbitos científicos, mediante un proceso semiautomático basado en técnicas de procesamiento del lenguaje natural.
- ciencias naturalesinformática y ciencias de la informaciónsoftware
- ciencias médicas y de la saludmedicina básicafarmacología y farmaciamedicamento
- ciencias naturalesinformática y ciencias de la informaciónciencia de datosextracción de datos
Para utilizar esta función, debe iniciar sesión o registrarse
Palabras clave
Convocatoria de propuestas
FP7-NMP-2007-SME-1
Consulte otros proyectos de esta convocatoria
Régimen de financiación
CP-TP - Collaborative Project targeted to a special group (such as SMEs)Coordinador
70150 Airport City
Israel