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SUMMARY:Deep AI Research in Health and Life Sciences - Dr. Kenji Takeda\, 
 Director of Academic Health and AI Partnerships\, Microsoft Research\, Cam
 bridge
DTSTART:20211115T193000Z
DTEND:20211115T210000Z
UID:TALK164434@talks.cam.ac.uk
CONTACT:John Cook
DESCRIPTION:Artificial Intelligence (AI) and Machine Learning have enormou
 s potential for positive impact across health and life sciences\, from ear
 ly detection of disease to improving cancer treatment. I will start by tac
 kling questions such as “What is AI?” and “How can we use AI respons
 ibly?”. I will then describe three deep research projects at Microsoft w
 here we are exploring how AI can be used for good. I will do a deep-dive i
 nto how the University of Cambridge and Addenbrookes Hospital have develop
 ed\, and are deploying\, state-of-the-art machine learning to speed up rad
 iotherapy cancer treatment using Microsoft Research’s Project InnerEye o
 pen-source software. Then discuss how machine learning is being used to bu
 ild a map of the human immune system\, including to support COVID-19 respo
 nse. And finally\, how natural language processing can be used to make sen
 se of millions of medical research publications to help accelerate drug di
 scovery. I hope this will provide deep insights into how research at Micro
 soft is helping to democratise AI and empower research institutes\, hospit
 als\, and life science organizations to ultimately benefit patients around
  the world.
LOCATION:Location: Wolfson Lecture Theatre\, Churchill College\, and Zoom
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