{"id":123116,"date":"2025-01-23T12:13:24","date_gmt":"2025-01-23T11:13:24","guid":{"rendered":"https:\/\/ibecbarcelona.eu\/?page_id=123116"},"modified":"2025-06-11T09:17:47","modified_gmt":"2025-06-11T07:17:47","slug":"artificial-intelligence-for-bioengineering-net-ia","status":"publish","type":"page","link":"https:\/\/ibecbarcelona.eu\/es\/research\/ibec-intramural-thematic-networks\/artificial-intelligence-for-bioengineering-net-ia\/","title":{"rendered":"Artificial Intelligence for Bioengineering (NET-IA) \u00a0"},"content":{"rendered":"
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Description<\/h2>\n
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This network’s aim is to equip IBEC researchers with knowledge about the latest machine learning (ML) techniques for bioengineering and create a specialized ML toolkit tailored for IBEC’s needs.  Key focus areas include biomarker development, targeted drug delivery, cellular and tissue engineering, biosensing, microscopy, and advanced data analysis and signal processing methods. These efforts will be supported through a series of designed workshops to address common challenges and integrate ML at IBEC.  <\/p>\n\n\n\n

The workshops will cover practical applications of ML in signal processing, biomarker development, and optical and scanning probe microscopy, providing insights into the practical implications of ML methods in bioengineering and addressing typical pitfalls. A retreat will strategize the future role of AI at IBEC. Moreover, a collaborative project will be launched to demonstrate a proof-of-principle idea, ensuring it is impactful, feasible, and leverages the network’s existing strengths. Finally, the development of a comprehensive toolkit will encapsulate best practices and tools for spectral and image processing, dimensionality reduction, and biomedical signal processing, among others. <\/p>\n\n\n\n

NET-IA counts on the participation of the following IBEC research groups:  <\/p>\n\n\n\n