{"id":24327,"date":"2023-12-15T11:26:57","date_gmt":"2023-12-15T11:26:57","guid":{"rendered":"https:\/\/cit.upc.edu\/?post_type=portfolio&p=24327"},"modified":"2025-12-23T08:12:54","modified_gmt":"2025-12-23T08:12:54","slug":"new-photonics-and-artificial-intelligence-tools-to-diagnose-ocular-cardiovascular-and-neurodegenerative-diseases","status":"publish","type":"portfolio","link":"https:\/\/cit.upc.edu\/en\/portfolio-item\/new-photonics-and-artificial-intelligence-tools-to-diagnose-ocular-cardiovascular-and-neurodegenerative-diseases\/","title":{"rendered":"New photonics and artificial intelligence tools to diagnose ocular, cardiovascular and neurodegenerative diseases"},"content":{"rendered":"\n

04\/12\/2023
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An international consortium of universities, hospitals and companies, led by the Centre for Sensors, Instruments and Systems Development (CD6) at the UPC, is developing new technologies based on light and artificial intelligence to improve the diagnosis of various diseases.<\/h4>
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New photonic and artificial intelligence (AI) tools will be developed for the early diagnosis and precise treatment of ocular, cardiovascular and neurodegenerative diseases. This is the objective of the European BE-LIGHT<\/a> project, coordinated by the Centre for Sensors, Instruments and Systems Development (CD6)<\/a>\u00a0at the Universitat Polit\u00e8cnica de Catalunya – BarcelonaTech (UPC). Participants in this project include a total of seven academic institutions, three hospitals and seven companies in Germany, France, Poland, Switzerland and Spain.\r
The BE-LIGHT project represents a step forward for knowledge and diagnosis of retinal diseases. Through the use of neural networks and optogenetic techniques,\u00a0the new tools that are developed will promote better understanding of the functioning of the retina and the exchange of information between neurons, so that, based on quantitative models, retinal diseases can be detected.\r
The combination of various photonic technologies such as multispectral images and optical coherence tomography, complemented with AI algorithms, enables a precise analysis of various ocular structures (cornea, vitreous body, fundus) for the early detection of visual impairments and oculomotor disorders. In addition, assessment with AI of eye movement patterns, which are strongly controlled by several brain areas, could offer new diagnostic tools for neurological diseases, such as Alzheimer or long Covid.\r
The project will also make possible the development of new clinical instruments and methods that can be used, for example, to obtain images of blood vessels or ocular structures of the patient through optical tomography and optoacoustics or thermal image. This technology will help in the non-invasive, early detection of plaques of arteriosclerosis, among other disorders. Likewise, new automatic learning tools will be developed for the treatment and monitoring of cardiac arrythmias with light, which could replace current techniques based on electrical stimuli. The use of AI in combination with techniques of super-resolution microscopy will enable images of biological structures of less than a nanometre to be obtained, such as proteins involved in Parkinson\u2019s disease and other rare diseases, which will improve the diagnosis.\r
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Budget and funding\r
The consortium, led by Meritxell Vilaseca<\/a>, researcher at CD6 and Cristina Masoller<\/a>, researcher in the group Nonlinear Dynamics, Nonlinear Optics and Lasers (DONLL)<\/a>, has funding of 2.5 million euros from the European Union\u2019s Horizon Europe programme, within the Marie Sklodowska Curie (Doctoral Networks) Actions. BE-LIGHT has a duration of 48 months (October 2023 \u2013 September 2027).\u00a0
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Researchers Cristina Masoller and Meritxell Vilaseca in the laboratory
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The initial project meeting was held in Barcelona in November
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International team involved in the project
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