Project description
A closer look at stroke diagnosis
A computed tomography (CT) scan is one of the most effective imaging modalities for diagnosing a stroke, which is a leading cause of mortality, morbidity and severe long-term disability. As such, CT perfusion (CTP) technology can play an important role in the detection and characterisation of stroke. But it is not without limitations. For instance, CTP is not supported by AI analysis. The EU-funded DECIMAL project will research and develop novel algorithms to natively analyse CTP data and provide quick treatment advice. Specifically, the project will recruit an innovation associate to explore the technical and practical feasibility of developing data-driven CTP algorithms.
Objective
Stroke is the second cause of morbidity and the leading cause of long-term disability. More than 1.1 million people in Europe suffer a stroke each year, which will increase to 1.5 million in 2025 due to an ageing population and unhealthy lifestyle. Stroke diagnosis and care is notoriously complicated. Some improvements have been made in the clinic, such as through the introduction of CT Perfusion imaging technology (CTP) to allow for quantitation. There are, however, many concerns with current implementations resulting in poor accuracy.
Nico.lab develops and markets unique Artificial Intelligence (AI) technology which analyzes brain imagery – such as a CT or MRI scan – and provides health professionals with treatment advice. CTP is a vastly different technology and is thus not yet supported by our AI analysis. Therefore, we want to research and develop novel algorithms to natively analyze CTP data and provide quick treatment advice.
As we have no experience at all with CTP technology – not medically nor concerning software, and barely in a research capacity - we require someone who holds all these expertises. There are, however, several barriers currently withholding us, ranging from our lacking resources to demontstrably unavailable talent in The Netherlands.
With this Innovation Associate grant we wish to hire the right talent. In this project the innovation associate will explore the technical and practical feasibility of developing data driven CTP algorithms. The innovation associate will obtain technical, practical and soft skills. Finally, the associate will deliver an innovation programme roadmap which can be implemented after finalization of this project.
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 software
- medical and health sciences basic medicine neurology stroke
- natural sciences computer and information sciences artificial intelligence machine learning
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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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H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
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H2020-EU.2.3.2.2. - Enhancing the innovation capacity of SMEs
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Topic(s)
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.
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.
CSA - Coordination and support action
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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) H2020-INNOSUP-2018-2020
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
1105 BP Amsterdam
Netherlands
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.