BE-LIGHT · BE-LIGHT Improving BiomEdical diagnosis through LIGHT-based technologies and machine learning
„Хоризонт Европа“ — Действия „Мария Склодовска-Кюри“
- Период
- 2023-10-01 → 2027-09-30
- Финансиране от ЕС
- 2 525 220 €
- Участници
- 18
- Схема
- HORIZON-TMA-MSCA-DN
Линиите свързват координатора с партньорите.
Накратко на български
Светлинни технологии и изкуствен интелект се използват за по-добра диагностика на сърдечно-съдови заболявания, проблеми със зрението и редки болести като Паркинсон. Това помага за по-точното разпознаване на симптомите и подобряване на лечението на пациентите.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
BE-LIGHT Improving BiomEdical diagnosis through LIGHT-based technologies and machine learning
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, the BE-LIGHT project will provide top level training to 11 researchers in photonic technologies (multispectral imaging, eye-tracking, optical coherence tomography (OCT), multispectral optoacoustic tomography (MSOT), super-resolution microscopy and optogenetics) that will be complemented with AI and 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 several academic institutions, internationally recognized hospitals and an ecosystem of private companies with complementary know-how in photonics, microscopy, AI, 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 machine and deep learning (DL) and data processing, and will obtain experience of clinical and commercialization processes. BE-LIGHT will open for them a wide range of high-quality job opportunities.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
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.
Оригинален текст от CORDIS (на английски).
Участници
- UNIVERSITAT POLITECNICA DE CATALUNYA · BARCELONAКоординаторИспания
- ABBERIOR INSTRUMENTS GMBH · GottingenГермания
- AMBROSYS GMBH GESELLSCHAFT FUR MANAGEMENT KOMPLEXER SYSTEME · POTSDAMГермания
- BEAMAGINE S.L · TERRASSAИспания
- FUNDACIO PRIVADA PER A LA RECERCA I LA DOCENCIA SANT JOAN DE DEU · Esplugues De LlobregatИспания
- GEORG-AUGUST-UNIVERSITAT GOTTINGEN STIFTUNG OFFENTLICHEN RECHTS · GottingenГермания
- HOSPITAL SANT JOAN DE DEU · Esplugues De LlobregatИспания
- INSTITUTO DE MICROCIRUGIA OCULAR DOS SLP · BarcelonaИспания
- ITHERA MEDICAL GMBH · MunchenГермания
- MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV · MUNCHENГермания
- OPTINAV SP ZOO · SlupskПолша
- POLITECHNIKA GDANSKA · GDANSKПолша
- QUIBIM SOCIEDAD LIMITADA · VALENCIAИспания
- SONMEDICA SL · BarcelonaИспания
- SORBONNE UNIVERSITE · ParisФранция
- UNIVERSITAETSMEDIZIN GOETTINGEN - GEORG-AUGUST-UNIVERSITAET GOETTINGEN - STIFTUNG OEFFENTLICHEN RECHTS · GoettingenГермания
- UNIVERSITAT ZURICH · ZurichШвейцария
- UNIWERSYTET MIKOLAJA KOPERNIKA · TORUNПолша
Връзки
- Виж в CORDIS
- DOI: 10.3030/101119924
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5051808ce&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e50664fe32&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e522a6a290&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e522cfdefd&appId=PPGMS
Данни: CORDIS, © Европейски съюз
