Deep AI Research in Health and Life Sciences

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• Dr. Kenji Takeda, Director of Academic Health and AI Partnerships, Microsoft Research, Cambridge
• Monday 15 November 2021, 19:30-21:00
• Location: Wolfson Lecture Theatre, Churchill College, and Zoom.

If you have a question about this talk, please contact John Cook.

Artificial Intelligence (AI) and Machine Learning have enormous potential for positive impact across health and life sciences, from early detection of disease to improving cancer treatment. I will start by tackling questions such as “What is AI?” and “How can we use AI responsibly?”. I will then describe three deep research projects at Microsoft where we are exploring how AI can be used for good. I will do a deep-dive into how the University of Cambridge and Addenbrookes Hospital have developed, and are deploying, state-of-the-art machine learning to speed up radiotherapy cancer treatment using Microsoft Research’s Project InnerEye open-source software. Then discuss how machine learning is being used to build a map of the human immune system, including to support COVID -19 response. And finally, how natural language processing can be used to make sense of millions of medical research publications to help accelerate drug discovery. I hope this will provide deep insights into how research at Microsoft is helping to democratise AI and empower research institutes, hospitals, and life science organizations to ultimately benefit patients around the world.

This talk is part of the Cambridge Society for the Application of Research (CSAR) series.

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