Supporting a data-driven approach to regulatory intelligence

Andrew S. Robertson, Alexis Reisin Miller,Felipe Dolz

NATURE REVIEWS DRUG DISCOVERY(2020)

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摘要
Drug developers are increasingly applying data-driven analysis of the actions of regulatory agencies to gain insights into their expectations and applications of regulatory policy, but such strategies can be limited by the availability and quality of regulatory datasets. Here, we discuss how establishing a single, robust, accessible database of FDA regulatory actions could help address this limitation.
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