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From Covid-19 detection to cancer grading: how AI is boosting clinical diagnostics and may improve treatment
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Data and System Traceability for Transparent AI in Medical Imaging
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CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning
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Berti, A., Buongiorno, R., Carloni, G., ... & Colantonio, S. (2023, May). Exploring the potential and challenges of AI in clinical diagnostics and remote assistance of individuals. In Conv Naz CINI sull'Intelligenza Artificiale (ITAL-IA)
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Quick Start for Students - vers. 2023-2024
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MODIFICA DATE CORSO - Prof. Martina Brofiga, University of Genova - Italy, "Innovations in In vitro Neuronal Engineering: bridging biology and technology", 22-30 September 2025
Prof. Matteo Palma, Queen Mary University of London – U.K, “Nano(bio)technology strategies for smart materials, devices, and systems", 8-19 September 2025
Prof. Jens C. Schwamborn, University of Luxembourg - Luxembourg Centre for Systems Biomedicine, "Current advances in brain organoid science", 22-26 September 2025
MODIFICA AULA - Assistant Professor Xiaomeng Li, Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, "Deep Learning for Medical Image Analysis", 21-23, 28 July 2025
Prof. T. Djenizian, Head of the Flexible Electronics Department Microelectronics, Center of Provence Mines Saint-Étienne, Institut Mines-Télécom, "3D Nano- and Microstructures for Sustainable and Flexible Energy Devices", 9-13 June 2025
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