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
Keywords
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Funding Scheme
HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral NetworksCoordinator
08034 Barcelona
Spain
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Participants (8)
80539 Munchen
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37073 Gottingen
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87100 Torun
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80-233 GDANSK
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75006 Paris
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08035 Barcelona
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
37075 Goettingen
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08950 Esplugues De Llobregat
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Partners (9)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
8006 Zurich
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
14482 POTSDAM
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
46021 Valencia
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
37077 Gottingen
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
08024 BARCELONA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
81379 Munchen
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
76 200 Slupsk
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
08755 Barcelona
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
08950 Esplugues De Llobregat
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