A machine learning modeling approach that leverages drug product, regulatory and pharmacoeconomic information can accurately predict the time to the first abbreviated new drug application submission for a new chemical entity, US Food and Drug Administration researchers report.
This modeling approach could help the agency optimize its resource allocation and workload under the generic drug user fee program...







