AI in Medicine Seminar Series

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• Isaac Sebenius and Tong Xia
• Monday 27 February 2023, 11:00-12:00
• School of Clinical Medicine, Seminar Room 12.

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 27th of February 2023 at 11AM at the Seminar Room 12, School of Clinical Medicine, and will feature Tong Xia and Isaac Sebenius, two PhD students from the Department of Computer Science at the University of Cambridge.

Isaac Sebenius – “Linking neuroimaging, cortical gene expression and cognition”. Tong Xia – “Sounds of COVID -19: exploring realistic performance of audio-based digital testing”.

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: https://zoom.us/j/99050467573?pwd=UE5OdFdTSFdZeUtIcU1DbXpmdlNGZz09 Meeting ID: 990 5046 7573 Passcode: 617729

Thank you for your interest, and we look forward to your participation!

Ines Machado and Dimitri Kessler

If you are interested in getting involved and presenting your work, please email Ines Machado at im549@cam.ac.uk

This talk is part of the Cambridge MedAI Seminar Series series.

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