{"id":8393,"date":"2024-02-08T08:00:00","date_gmt":"2024-02-08T08:00:00","guid":{"rendered":"https:\/\/www.iuma.ulpgc.es\/?p=8393"},"modified":"2024-04-17T19:49:46","modified_gmt":"2024-04-17T19:49:46","slug":"ce-financia-proyecto-stratum-ia-neurocirugia","status":"publish","type":"post","link":"https:\/\/www.iuma.ulpgc.es\/en\/ce-financia-proyecto-stratum-ia-neurocirugia\/","title":{"rendered":"The EC finances the STRATUM project for the application of AI in neurosurgery with 10 MEuros"},"content":{"rendered":"

The University of Las Palmas de Gran Canaria (ULPGC), through the Institute for Applied Microelectronics (IUMA), coordinates the European project STRATUM<\/strong><\/a>, which proposes the development of an innovative tool to aid decision-making during brain tumor surgery operations based on real-time processing of 3D multimodal data using artificial intelligence algorithms.<\/p>\n\n\n\n

Las Palmas de Gran Canaria, February 2, 2024.<\/p>\n\n\n\n

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STRATUM \u2013 3D Decision Support Tool for Brain Tumor Surgery<\/em> \u2013<\/strong> It is a European project funded by the research and innovation program of the European Union Horizon Europe<\/em><\/a>, coordinated by the university professor of Institute for Applied Microelectronics (IUMA)<\/a> of the University of Las Palmas de Gran Canaria (ULPGC)<\/a>, Dr. Gustavo Marrero Callic\u00f3<\/strong><\/a>.<\/p>\n\n\n\n

STRATUM<\/strong> aims to develop a novel decision-making aid tool during brain tumor surgery operations. Brain surgeries, especially those aimed at removing tumors, present serious challenges for neurosurgeons. Accurate differentiation of critical tissues and tumor margins during surgery, along with the interpretation of large amounts of data from various devices, are critical and often very complex tasks.<\/p>\n\n\n\n

The main purpose of STRATUM<\/strong> focuses on the development of a 3D imaging system in which the aim is to reach a technological maturity level TRL7<\/strong> (\u201cDemonstration of system or prototype in a real environment\u201d), based on the real-time processing of 3D multi-modal data using artificial intelligence algorithms<\/strong>. This innovative tool will be integrated as a low-energy data capture and processing system within the neurosurgery workflow, marking a significant milestone in the convergence between technology and medicine, and thus promoting the creation of a new generation of neuro-browsers<\/strong>.<\/p>\n\n\n\n

The integration of these data sources, both existing and emerging (such as the case of hyperspectral imaging technology<\/strong>), along with their real-time processing, will provide neurosurgeons with the ability to make informed, efficient and accurate decisions during surgical procedures. This can not only maximize tumor tissue resection rate<\/strong>, but also expected to reduce risks of neurological deficits<\/strong>, directly benefiting patients. Medical collaboration through innovative protocols will allow STRATUM<\/strong> contribute significantly to the improving care in brain surgeries<\/strong>.<\/p>\n\n\n\n

The expected impact of STRATUM<\/strong> It extends beyond the clinical field, since, by performing time-efficient surgical procedures, it will allow reducing anesthesia time, minimizing risks to patients and possible post-operative complications, while allowing the optimization of the resources of the European healthcare system. .<\/p>\n\n\n\n

The project STRATUM,<\/strong> financed with 10.7 million euros by the program Horizon Europe<\/em> (HORIZON-HLTH-2023 \u2013 Grant Agreement<\/em> No. 101137416), began last December 1, 2023 and has a duration of 5 years<\/strong> (will end in November 2028). The consortium interdisciplinary<\/strong> and international<\/strong> of STRATUM<\/strong> includes a total of 12 partners<\/strong> from 6 different countries:<\/strong><\/p>\n\n\n\n