Generic Drugs: Machine Learning Modeling Can Better Predict ANDA Submissions
US FDA staff describe their experience with a method that accurately predicted the time to first submission of generic drug applications for new chemical entities; this approach could help the agency optimize resource allocation and workload under the generic drug user fee program.
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Algorithms are intended to help predict incoming workload, which will be used to help set user fees.
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