Objective
Europe has an ageing demographic, 25% of the population over 40 years old suffer from eye disesase. As an example, 5% of the diagnosed disease are categorised as Age-related Macular Degeneration (hereafter AMD). This disease can be treated, if diagnosed early.
The problem:
A number of severe diseases, such as AMD, can be diagnosed by scanning and analyzing the retina, however due to microscopic movement of the eye, only a small part of the retina can be “photographed” as the current technology is too slow to capture a clear image.
The method used to diagnose eye diseases is called “Optical Coherence Tomography” (hereafter OCT) 2D imaging, and is usually performed by specialised eye doctors (ophthalmologists). To enable earlier diagnosis, screening for eye diseases such as AMD are increasingly being done by opticians, but due to the complexity of the eye, and the quality of the 2D images, this leads to many false-positives.
Despite the clear benefit of earlier screening, the many false-positive resulys found by opticians are a burden on ophthalmologist and are taking up time and resources.
The solution:
OCTLIGHT has developed a patented specialized light source module, that enables OCT “eye scanner” devices to scan the eye 10x faster than the technology presently used, giving them the ablity to do clear wide field 3D image scans of the eye.
The wide field 3D images make it easier for ophthalmologists to detect eye diseases, but just as significant, the high quality of the data (image) allows for the use of Machine Learning for diagnosing eye diseases.
This means that OCTLIGHTs technology enables better screening, which can be combined with Machine Learning to enable better and more reliable diagnosis even if performed by opticians. This should reduce the many false-positives found, enabling efficient and cost-saving diagnosis and treatment.
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.
- medical and health sciences clinical medicine ophthalmology glaucoma
- medical and health sciences clinical medicine cardiology cardiovascular diseases arteriosclerosis
- medical and health sciences clinical medicine endocrinology diabetes
- medical and health sciences basic medicine neurology multiple sclerosis
- medical and health sciences clinical medicine ophthalmology retinopathy
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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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H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
MAIN PROGRAMME
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H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
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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.
SME-1 - SME instrument phase 1
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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-SMEInst-2016-2017
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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.
2800 LYNGBY
Denmark
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.