Cel
Cell therapy offers promising opportunities to approach several diseases for which no effective therapies are currently available. However, the prognosis of the treatment efficacy commonly only relies on the progression of the disease symptoms. There is a need of tools to evaluate and predict the safety and success of cell-based treatments in earlier stages. The current lack of methods providing real-time tracking of transplanted cells and knowledge on their early biodistribution and viability, is one of the major weakness of the available cell-based treatments.
The main goal of nTRACK is to develop a safe and highly sensitive multimodal nanoimaging agent enabling noninvasive, quantitative and longitudinal stem cell tracking and whole body biodistribution. nTRACK will also provide information on cell (long-term) viability using the combination of CT, MRI and PET, which are imaging modalities that are clinically available. The synthesis of nTRACK NPs and cellular labeling processes will be scaled up and will follow good manufacturing practice (GMP) requirements. A second goal is to establish a predictive model for early assessment of treatment effectiveness, based on short-term evaluation of the typical migration and biodistribution patterns of the stem cells. This predictive model could substantially improve overall management of the disease and will transform cell therapy treatment from “one size fits all’ concept towards personalised treatment.
The nTRACK technology will be demonstrated on a muscular injury sheep model, using imaging infrastructure commonly used in hospital settings. In addition, non-clinical safety studies on the nTRACK nanoparticles will be conducted following the conclusions of a series of formal interactions with regulatory authorities, to allow the prompt introduction into clinical trials after the end of the project.
Dziedzina nauki
Klasyfikacja projektów w serwisie CORDIS opiera się na wielojęzycznej taksonomii EuroSciVoc, obejmującej wszystkie dziedziny nauki, w oparciu o półautomatyczny proces bazujący na technikach przetwarzania języka naturalnego.
Klasyfikacja projektów w serwisie CORDIS opiera się na wielojęzycznej taksonomii EuroSciVoc, obejmującej wszystkie dziedziny nauki, w oparciu o półautomatyczny proces bazujący na technikach przetwarzania języka naturalnego.
- medical and health sciencesclinical medicineradiologynuclear medicine
- medical and health sciencesmedical biotechnologynanomedicine
- medical and health sciencesmedical biotechnologycells technologiesstem cells
- medical and health sciencesbasic medicineimmunologyautoimmune diseases
- medical and health scienceshealth sciencespersonalized medicine
Słowa kluczowe
Program(-y)
Temat(-y)
Zaproszenie do składania wniosków
Zobacz inne projekty w ramach tego zaproszeniaSzczegółowe działanie
H2020-NMBP-2017-two-stage
System finansowania
RIA - Research and Innovation actionKoordynator
08225 Terrassa
Hiszpania