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I work with a group using machine learning for drug discovery (I'm not a biologist/chemist) but the bio people around me loved to talk poorly about Watson's drug discovery tool.

Lots of focus on the algorithms in the comments here, but from what I could glean generally they lacked domain experts when developing the datasets... we spend 90% just finding the best data... and even then it's tricky. I think they may have had lower standards for the input into the system... garbage in garbage out.



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