Objective
Brain tumors remain one of the most incurable illnesses we know; patients have poor prognosis and less than a decade of life expectancy. The oncologists toolkit is rather limited as chemotherapy agents have limited access to the brain due to the blood brain barrier selective permeability and radiotherapy results in extensive damage to tissue well beyond the targeted area; leaving surgical removal of the tumor as the most effective approach. It has now become clear that the completeness of the surgical removal of the tumor is the most important factor determining recurrency of the illness. As such, tools that enable neurosurgeons to effectively remove the tumor are of fundamental importance in the surgical theater. Recent advances in intraoperative fluorescent labeling of common brain tumors has proven to dramatically improve surgical outcome. Unfortunately, no such labeling or intraoperative aid exists for the highly infiltrative low-grade glioma (LGG), making it the deadliest type. This PoC project aims to tackle this urgent unmet need and develop an intraoperative, real-time imaging and tissue classification tool for precise on-site identification of LGG tissue. The core technology emanates from the multiphoton ultrafast volumetric imaging we developed (now able to run in real-time) to study the link between neuronal activity and blood flow. Here we harness this unique technology and extended it to perform real-time label-free multimodal acquisition and image processing using the latest deep-learning tools. Our tool will provide surgeons with the ability to discern, while operating, healthy vs tumor tissue. Together with neurosurgeons, a technological hardware partner and an expert in artificial intelligence, we are positioned to generate the first-of-its kind prototype and to seek its commercialization. Such a tool is expected to become a game changer in brain and other tumor surgeries, improving the life expectancy and quality of many patients and families.
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 surgery
- humanities arts performing arts dramaturgy
- 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.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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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.
HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants
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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) ERC-2022-POC1
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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.
69978 Tel Aviv
Israel
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.