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AI in Medicine Seminar Series

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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.

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 and Passcode: 617729

We look forward to your participation!

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1 upcoming talk and 6 talks in the archive.

AI in Medicine Seminar Series

UserAI in Medicine Seminar Series.

HouseSchool of Clinical Medicine, Seminar Room 12.

ClockTuesday 27 June 2023, 11:00-12:00

AI in Medicine Seminar Series

UserMateo Espinosa Zarlenga and Francesco Prinzi.

HouseSchool of Clinical Medicine, Seminar Room 12.

ClockTuesday 28 March 2023, 11:00-12:00

AI in Medicine Seminar Series

UserIsaac Sebenius and Tong Xia.

HouseSchool of Clinical Medicine, Seminar Room 12.

ClockMonday 27 February 2023, 11:00-12:00

Short cuts make long delays: Machine Learning for COVID-19 and Medical Imaging

UserDr. Ian Selby, Department of Radiology, University of Cambridge.

HouseSchool of Clinical Medicine, Room 19, 4th floor.

ClockTuesday 24 January 2023, 11:00-12:00

Please see above for contact details for this list.

 

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