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. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences data science
- medical and health sciences basic medicine immunology
- medical and health sciences clinical medicine oncology
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.3.1 - The European Innovation Council (EIC)
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-EIC-ACC-BF - HORIZON EIC Accelerator Blended Finance
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-EIC-2022-ACCELERATOR-01
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75014 Paris
France
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.