Grant from the European Union’s Horizon 2020 programme awarded to the nTRACK project, designed to study multimodal nanoparticles for structural and functional tracking of stem cell therapy on muscle regeneration.
Barcelona, 2 October 2017 — The European Union has awarded a grant of 6.8 million euros to the nTRACK collaborative project. The grant, from the Horizon 2020 framework programme, was awarded to nTRACK, a research and innovation project carried out by an international consortium led by LEITAT. The project partners include Bar Ilan University, Pluristem Therapeutics, University Medical Center of Johannes Gutenberg University Mainz, MJR PharmJet, BET Solutions, National Centre for Scientific Research “Demokritos,” Vall d’Hebron Research Institute, Vivotecnia Research, RIVM, Asphalion, and Cambridge Nanomaterials Technology. The project will officially be launched on the 16th of October in Barcelona.
The goal of the nTRACK project is to develop a highly sensitive multimodal nano-imaging agent that complies with the current regulatory framework. This imaging agent will enable non-invasive, quantitative, and longitudinal stem cell tracking and whole-body bio-distribution. It will provide early predictions of cellular therapy treatment outcomes and the ability to detect and monitor cell transplants. The nTRACK consortium will use stem cells to predict treatment success for muscle regeneration as proof of principle.
“nTRACK will result in a fully characterized, (nano)safe, and functional nano-based imaging agent. It will be validated within a clinical imaging framework to simulate human complexity, complemented by data interpretation and modeling software. The nTRACK project will deliver a new contrast agent ready for clinical testing. nTRACK aspires to facilitate the provision of new regenerative therapies to patients,” says Marc Masa, project coordinator of nTRACK, LEITAT.
Contact:
Scientific Coordinator: Marc Masa
mmasa@leitat.org
+34 93 788 23 00
Press:
Max Viallon
mviallon@leitat.org
+34 93 788 23 00
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 761031. This publication reflects only the author’s views, and the European Union is not liable for any use that may be made of the information contained therein.
