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UID:124483-1742515200-1742562000@ibecbarcelona.eu
SUMMARY:IBEC Seminar. Science and poetry
DESCRIPTION:El pròxim 21 de març\, coincidint amb el Dia Internacional de la Poesia\, l’IBEC ha programat una sessió poètica especial conduïda per Mireia Casanyes. Aquesta activitat forma part de Ciència Radical\, un programa cultural creat en col·laboració amb el CCCB\, que busca explorar les connexions entre ciència\, humanitats i arts per repensar la realitat que ens envolta. El seminari s’inscriu també dins la residència poètica de Mireia Casanyes a l’IBEC.
URL:https://ibecbarcelona.eu/es/event/ibec-seminar-science-and-poetry/
LOCATION:Sala Dolors Aleu\, Cluster II\, IBEC\, Baldiri i Reixac\, Barcelona
CATEGORIES:IBEC Seminar
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DTSTART;TZID=Europe/Madrid:20250328T090000
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DTSTAMP:20260418T093408
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UID:124727-1743152400-1743170400@ibecbarcelona.eu
SUMMARY:Workshop 2. NET-AI: AI fundamentals and use cases in healthcare
DESCRIPTION:In this second workshop of the AI for Bioengineering thematic network (NET-AI)\, an introduction\, both theoretical and practical\, to the fundamental concepts and main algorithms of artificial intelligence applied to bioengineering will be given. To this end\, a first seminar will introduce the fundamental concepts of AI. This will be followed by a practical programming activity in Python\, in which attendees will be able to bring their laptop to practice the implementation of simple AI models. Finally\, a second seminar will offer a more specific vision of AI use cases in the healthcare field for decision-making. \n  \nSchedule programme \n09:00 – Registration and Welcome \n09:15 – Santiago Marco\, IBEC group “Signal and Information Processing for Sensing Systems”\, “AI fundamentals” \n10: 15 – Coffee Break \n10:45 – Moritz Marquardt\, University of Stuttgart\, AI practical activity (own computer required) \n12:15 – Short break \n12:30 – Plenary: Alexandre Perera\, Universitat Politècnica de Catalunya (UPC)\,“From Ontology-Based Classifiers for Rare Conditions to Transformer-Based Models for Type 2 Diabetes – Opportunities and Risks” \n13:30 – Final remarks and closing \nTo register\, click here. \nHealth Data Science: From Ontology-Based Classifiers for Rare Conditions to Transformer-Based Models for Type 2 Diabetes – Opportunities and Risks\nAlexandre Perera \nHealth data science is transforming disease prediction and diagnosis through advanced AI models. This talk explores two key frontiers: ontology-based classifiers for rare diseases and transformer-based models for type 2 diabetes prediction. Ontology-based methods\, such as those leveraging the Human Phenotype Ontology (HPO)\, enhance diagnostic precision in rare conditions by mapping patient-reported symptoms to expert-curated knowledge bases (Manzini et al.\, 2022). Initiatives like Share4Rare promote citizen science and collaborative rare disease research\, fostering data sharing and patient engagement (Radu et al.\, 2021). Additionally\, expert models aid in the early identification of inherited kidney diseases\, integrating clinical expertise with machine learning (Fayos de Arizon et al.\, 2023) For prevalent conditions like type 2 diabetes\, deep learning models excel in trajectory prediction using longitudinal health records. Attention-based encoders and deep clustering approaches have demonstrated high accuracy in forecasting disease progression and personalizing treatment strategies (Manzini et al.\, 2022\, 2025). However\, the integration of AI in clinical decision-making presents both opportunities and risks\, including model bias\, explainability challenges\, and ethical concerns regarding data privacy. This discussion highlights the transformative potential of AI-driven disease prediction while addressing the need for robust validation\, transparency\, and responsible deployment in healthcare.
URL:https://ibecbarcelona.eu/es/event/net-ai-workshop-1-advances-in-biomedical-imaging-for-knowledge-extraction/
LOCATION:Sala Dolors Aleu\, Cluster II\, IBEC\, Baldiri i Reixac\, Barcelona
CATEGORIES:IBEC Seminar
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