The terms “big data”, “machine learning” and “artificial intelligence” have been trending in the drug discovery space for several years, both in mainstream media and academic press. These new technologies are believed to make drug discovery cheaper, faster, and more productive, while also promising to enable personalized medicine approaches (e.g. advanced biomarkers, improved patient stratification, etc).
But how is “magic” happening, after all?
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