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AI in Medicine Seminar Series

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If you have a question about this talk, please contact Ines Machado.

The Cancer Research UK Cambridge Centre and the Department of Radiology at Addenbrooke’s are pleased to announce a seminar series on Artificial Intelligence (AI) in Medicine, which aims to provide a comprehensive overview of the latest developments in this rapidly evolving field. As AI continues to revolutionize healthcare, we believe it is essential to explore its potential and discuss the challenges and opportunities it presents.

The seminar series will feature prominent experts in the field who will share their research and insights on a range of topics, including AI applications in disease diagnosis, drug discovery, and patient care. Each seminar will also include a Q&A session to facilitate discussion and exchange of ideas among participants.

The next seminar will be held on the 28th of March 2023 at 11AM at the Seminar Room 12, School of Clinical Medicine, and will feature:

Mind the explainability gap: harnessing the power of high-level concepts for interpretable AI in medicine Mateo Espinosa Zarlenga PhD student and Gates scholar in the Department of Computer Science and Technology at the University of Cambridge

Deep Learning and Radiomics in Breast Masses Detection and Classification Francesco Prinzi PhD Student in the Department of Biomedicine, Neuroscience and Advanced Diagnostics at the University of Palermo.

Each session will involve two talks, followed by an interactive discussion with coffee and pastries! We hope that this seminar series will be a valuable platform for researchers, practitioners, and students to learn about the latest trends and explore collaborations in the exciting field of AI in Medicine.

This is a hybrid event so you can also join via Zoom: Meeting ID: 990 5046 7573 Passcode: 617729

If you are interested in getting involved and presenting your work, please email Ines Machado at

This talk is part of the AI in Medicine Seminar Series series.

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