Ziel
The high costs and long timelines associated with drug development are a major burden to society. The healthcare industry is increasingly looking for systems and processes to reduce the costs of developing and testing new drugs. Commercial wearable medical devices have recently found their ways into clinical trials, with pharma companies looking for new tools to monitor patients enrolled in clinical trials. Although such wearables can track a plethora of patient parameters and offer advantages that stand to improve the way in which clinical trials are designed and conducted, they only measure physical parameters of patients and fail to measure biochemical parameters that are directly relevant to drug development (biomarkers).
Xsensio has leveraged the most advanced innovations from the fields of nanotechnology, biochemistry, and microfluidics to develop its proprietary Lab-on-Skin™ platform. At its core, the Lab-on-Skin™ platform contains an innovative functionalized sensor chip that is capable of measuring biomarkers in sweat. With the remote, continuous, and real-time monitoring of biomarkers, ultra-low power consumption, and optimized design for mass-production, the Lab-on-Skin™ platform is highly attractive for integration into wearable devices for 24/7 monitoring of patients. In this project, Xsensio will perform a feasibility study to (1) select a panel of biomarkers that maximize the (clinical) applications of the Lab-on-Skin™ platform, (2) obtain quantitative and qualitative market data, (3) construct roadmaps for navigating the regulatory landscape, (4) strengthen and expand its current IP position, and (5) consolidate all current and future findings into a business plan.
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.
- medical and health sciencesbasic medicinepharmacology and pharmacydrug discovery
- natural sciencescomputer and information sciencesinternetinternet of things
- engineering and technologynanotechnology
- medical and health scienceshealth sciencessubstance abuse
- engineering and technologymedical engineeringwearable medical technology
Programm/Programme
Thema/Themen
Aufforderung zur Vorschlagseinreichung
Andere Projekte für diesen Aufruf anzeigenUnterauftrag
H2020-SMEInst-2018-2020-1
Finanzierungsplan
SME-1 - SME instrument phase 1Koordinator
1015 Lausanne
Schweiz
Die Organisation definierte sich zum Zeitpunkt der Unterzeichnung der Finanzhilfevereinbarung selbst als KMU (Kleine und mittlere Unternehmen).