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Active Machine Learning in Drug Discovery

Drug discovery and development are both time and resource intensive since a lot of different compounds need to be screened across a lot of different targets. See how machine learning models can be used to predict screening results and how active learning algorithms can be used to efficiently select which experiments to perform in order to build those models.
ArticlesPodcasts Podcast Series

The podcast series is focused on R&D informatics, introducing you to people responsible for implementing systems and technologies to a diverse set of use-cases. Join us every month to see what you can learn.