Predicting drug approvals: The Novartis data science and artificial intelligence challenge.
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ABSTRACT:
SUBMITTER: Siah KW
PROVIDER: S-EPMC8369231 | biostudies-literature | 2021 Aug
REPOSITORIES: biostudies-literature
Publications
Predicting drug approvals: The Novartis data science and artificial intelligence challenge.
Siah Kien Wei KW Kelley Nicholas W NW Ballerstedt Steffen S Holzhauer Björn B Lyu Tianmeng T Mettler David D Sun Sophie S Wandel Simon S Zhong Yang Y Zhou Bin B Pan Shifeng S Zhou Yingyao Y Lo Andrew W AW
Patterns (New York, N.Y.) 20210721 8
We describe a novel collaboration between academia and industry, an in-house data science and artificial intelligence challenge held by Novartis to develop machine-learning models for predicting drug-development outcomes, building upon research at MIT using data from Informa as the starting point. With over 50 cross-functional teams from 25 Novartis offices around the world participating in the challenge, the domain expertise of these Novartis researchers was leveraged to create predictive model ...[more]
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