GDUFA Research Outcomes
Data Analytics and AI
This section contains scientific publications, presentations, and posters arising from GDUFA-funded research relevant to data analytics and artificial intelligence (AI) for generic product development and assessment, including the development of natural language processing (NLP) and machine learning (ML) tools
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Equivalence Testing of Complex Particle Size Distribution Profiles Based on Earth Mover’s Distance
Hu, Meng
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Predictive Analysis of First ANDA Submission for NCEs Based on Machine Learning Methodology
Hu, Meng
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Prediction of the First ANDA Submission for NCEs Utilizing Machine Learning Methodology
Hu, Meng
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Advance in Data Imputation Approach to Support BE Assessment
Wang, Jing
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Use of Regulatory Science Research to Support post-Marketing Surveillance of Generic Drug Products
Dutcher, Sarah
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Predictors of Generic Thyroid Hormone Utilization among the Commercially Insured
Daubresse, Matthew
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Association of Authorized Generic Marketing with Prescription Drug Spending on Antidepressants from 2000 to 2011
Cheng, Ning; Banerjee, Tannista; Qian, Jingjing; Hansen, Richard