Objective
The FoundRa project is based on 2 challenges: (1) Due to aging and population growth, there is an increase in pathologies that require radiology, from diagnosis to follow-up. (2) The ambition to make personalized medicine the standard of the future requires all kinds of biomarkers.
Raidium is an agile, young and ambitious French company, born from the mission of the co-founders to accelerate the application of precision medicine and relieve radiologists from their enormous workload.
Raidium delivers the first scalable interactive AI platform for radiology, supporting radiologists in their work, enabling a broader group of clinicians to benefit from radiology insights, and making clinical trials faster and more cost-effective. The innovation is a multimodal foundation model (FM) that uses self-supervised learning based on unlabeled data, creating scalable biomarkers; unlike current offerings where biomarker-generating AI can only target one segment, due to the time- and cost-consuming effort of supervised learning based on manually labeled data. The human-centric platform offers an intelligent interactive and intuitive human-machine interface that can be trained by the radiologist, leveraging their experience while performing automatic segmentation, annotation and analytical tasks, providing reports and decision support.
Radium's beachhead market is to be an AI-enabled contract research organization for pharmaceutical companies, providing strategic AI-generated biomarkers. Radium's ultimate market is to provide an AI radiology platform as a Software as a Service (SaaS) to radiologists and clinical researchers in hospitals and pharma.
With the support from EIC, we will train our FM, integrate it into our platform, and accelerate the creation of AI-based biomarkers. This initiative aims to revolutionize and bring about significant advances in the fields of precision medicine in respect to medical practice and clinical trials.
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 artificial intelligence machine learning supervised learning
- natural sciences chemical sciences inorganic chemistry alkaline earth metals
- medical and health sciences clinical medicine radiology
- medical and health sciences basic medicine pathology
- medical and health sciences health sciences personalized medicine
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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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HORIZON.3.1 - The European Innovation Council (EIC)
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-EIC-ACC - HORIZON EIC Accelerator
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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-2024-ACCELERATOR-02
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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.
93300 AUBERVILLIERS
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.