Project description
Digital flow cytometry analysis platform for clinical diagnosis
Flow cytometry is a technique that is used to analyse the chemical and physical characteristics of cells. It uses lasers to detect the expression of cell surface and intracellular molecules and is routinely used in research. However, data analysis takes place manually and interpretation of results is often complex, impeding the implementation of flow cytometry in routine clinical practice. Funded by the European Innovation Council, the METAflow project aims to develop a robust flow cytometry platform that can be used in clinical diagnosis. The platform will offer digital data analysis for enhanced diagnosis accuracy and sustainability and is expected to find applications in immunology and oncology.
Objective
After successful development of METAglut1, an IVD Medical Device for diagnosis of the Glut1 Deficiency Syndrome ( available for clinical use), we are currently focused on developing a new breakthrough solution: METAflow. Flow cytometry (FC) is a powerful tool widely use in research. However, the high cost and complexity of interpretation of FC data hampers its full clinical exploitation. Main pain-points of clinical FC data analysis, include need for manual analysis, which is accompanied by complexity with increasing number of dimensions, lack of robustness and limited scale-up. The lack of automated analytical process stems from dearth of robust algorithms, limited regulatory compliance and need for considerable coding skills. With METAflow we bring to the market the first digital, clinical grade FC platform, which offers comprehensive data analysis, robustness, and usability, addressing the “lost in translational research” issue of flow cytometry in the clinics.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencesdata science
- medical and health sciencesbasic medicineimmunology
- medical and health sciencesclinical medicineoncology
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Programme(s)
- HORIZON.3.1 - The European Innovation Council (EIC) Main Programme
Funding Scheme
EIC-ACC - EIC-ACCCoordinator
75014 PARIS
France
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.