Objective
Cancer metastasis is the leading cause of death within tumor disease and is currently an unmet clinical need. This dramatic clinical evidence requires immediate action in terms of early diagnosis and then pre-emptive therapies, not only for the primary tumor, but especially at the first stages of metastasis formation. Metastasis is the result of a complex mechanism, still under study, which involves the trafficking of biological materials, in particular extracellular vesicles (EVs), from the primary tumor site towards other tissues.
The project AI CUrES aims to propose novel methodologies for early diagnosis of metastasis, by gaining new knowledge at the early stage of their formation with a real-time and predictive approach. This work has the future vision of predicting possible patient’s outcomes and helping to set timely pre-emptive therapies. I believe that this is possible by exploiting the EVs specifically produced by the primary tumor, here by colorectal cancer (CRC). In AI CUrES, such EVs will be tagged by specific nanosized-contrast agents and their trafficking in biological media reported by an innovative multi-modal bioimaging technology having high resolution, deep tissue penetration, real-time and molecular characteristics. The collected images of EVs trafficking towards recipient cells or tissues will be refined and further elaborated by artificial intelligence algorithms, with the aim to predict the possible metastasis development from a starting CRC tumor mass.
AI CuRES will prove the efficacy of this approach by enabling, as expected outcomes, deep scientific knowledge on metastasis formation mechanisms and demonstrating a breakthrough innovation in bioimaging technologies and digital tools for health monitoring and diagnosis of oncological patients. The results can be also useful in other tumors leading to metastasis and to empower Europe towards digital tools for predictive diagnosis.
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.
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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-POC2
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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.
10129 Torino
Italy
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.