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Data Curation, AI, and Machine Learning In Drug Discovery Informatics Workflows
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"Data Curation, AI, and Machine Learning In Drug Discovery Informatics Workflows"

Pharmaceutical companies and researchers are increasingly turning to artificial intelligence and machine learning to turbocharge and laser-focus their processes on potential drug targets for development. But this technology is only as good as the data that trains the computing algorithms, so data curation is imperative.

This report summarizes a GenomeWeb Virtual Roundtable, sponsored by Qiagen, in which four experts on the use of AI and machine learning discussed data curation, recent changes in the drug discovery landscape, uses for artificial intelligence in drug discovery, the types of data available for use, rules for curation, and opportunities for automation.


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