Project description
Shedding light on advanced photonics and AI for health
In healthcare, where precision is top priority, the EU faces a critical challenge: the need to boost industry competitiveness through advanced photonics while simultaneously developing non-invasive diagnostic tools. Light-based instruments are pivotal for disease diagnosis and treatment, presenting a nexus for economic benefits within national health systems. Harnessing the potential of artificial intelligence and machine learning is imperative for data interpretation, which should reach levels corresponding those of seasoned physicians. With the support of Marie Skłodowska-Curie Actions this, the EU-funded BE-LIGHT project emerges as a beacon of innovation, poised to train 11 researchers in state-of-the-art photonic technologies fused with artificial intelligence and machine learning, amplifying their impact on visual health, cardiovascular well-being and the analysis of cells and tissues.
Objective
Photonics is crucial for maintaining and increasing the competitiveness of EU industry, and light-based instruments are fundamental for non-invasive diagnostics and treatment of diseases, delivering huge economic benefits for national health systems. Artificial Intelligence (AI) and Machine Learning (ML) have demonstrated their capability to classify and identify patterns in data, achieving reliability levels that are comparable to those of experienced physicians.
To fully develop the potentials of these technologies, BE-LIGHT will provide top level training to 11 Researchers in photonic technologies (multispectral imaging, eye-tracking, optical coherence tomography, multispectral optoacoustic tomography, super-resolution microscopy and optogenetics) that will be complemented with AI/ML, computational imaging and modelling. A close-to-the-clinic approach will allow them to advance the field of biomedicine, with the ultimate goal of improving the understanding, diagnosis and treatment of diseases in 3 main research areas: visual health, cardiovascular health, and analysis of cells and tissues (related to Parkinson’s and rare diseases) using super-resolution microscopy.
BE-LIGHT brings together an interdisciplinary consortium of 7 top academic institutions, 3 internationally recognized hospitals, and an ecosystem of 7 private companies with complementary know-how in photonics, microscopy, AI/ML, medical instruments and clinical research, to promote inter-sectoral synergies.
BE-LIGHT’s multi-skill training program will provide the researchers with the complete set of skills that are nowadays key for their success in both academic and non-academic sectors. They will gain a broad understanding of how state-of-the-art light-based technologies work, a solid knowledge of ML and data processing, and will obtain experience in clinical and commercialization processes. BE-LIGHT will open for them a wide range of high-quality job opportunities.
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.
This project's classification has been validated by the project's team.
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.
This project's classification has been validated by the project's team.
- natural sciences physical sciences optics microscopy super resolution microscopy
- natural sciences computer and information sciences artificial intelligence machine learning
- natural sciences computer and information sciences data science data processing
- natural sciences physical sciences optics spectroscopy
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.1.2 - Marie Skłodowska-Curie Actions (MSCA)
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-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral Networks
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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-MSCA-2022-DN-01
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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.
08034 Barcelona
Spain
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.