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In the quest for new medicines, developers seek to make AI their divining rod
Developing and testing a drug candidate can take years of effort and billions of dollars of investment. Any shortcut that AI can offer could be a game changer
United states
Hong kong
Evan buhler
Cheryl arrowsmith
Doina precup
Petrina kamya
Ryan merkley
Josh pattel
Google deepmind
University of toronto
Montreal institute for learning algorithms
Toronto princess margaret cancer centre
Structural genomics consortium
Molecular forecaster inc
Mcgill university
Insilico medicine
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