GDUFA Research Outcomes
Data & 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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Alternatives to f2 Testing for Dissolution Similarity ��� f2 Bootstrapping and Multivariate Statistical Distance (MSD) Method
Gong, Xiajing
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IVPT Data Challenges and Statistical Analysis
Ghosh, Priyanka
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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
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User Friendly Tools for Population PK and PBPK modeling
Bies, Robert S
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Assessment of Bio(in)equivalence of Metronidazole Topical Formulation using Stimulated Raman Scattering Microscopy
Zarmpi, P; Tsikritsis, D; Watson, A; Vorng, J L; Tyagi, V; Ghosh, P; Belsey, N; Woodman, T J; Jane White, KA; Bunge, A L; Delgado-Charro, M; Guy, R H
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Application of Quantitative Models to Systematically Evaluate Factors Impacting Swallowability of Tablets
Cui, Di; Li, Karen; Al Ghabeish, Manar; Mcguire, Meredith; Sun, Wei-Jhe; Hu, Meng; Zhao, Liang; Kim, Myong – Jin
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Performance of Machine Learning Algorithms for Model Selection
Li, Xinnong; Sale, Mark; Nieforth, Keith; Craig, James; Wang, Fenggong; Solit, David; Feng, Kairui; Hu, Meng; Bies, Robert; Zhao, Liang
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AI-Assisted Tool to Improve the Quality and Assessment of PLGA Formulations
Das, Jayanti; Hasan, Md Easin; Smith, William; Graner, John; Qin, Bin; Wang, Yan; Park, Kinam; Tian, Geng; Xu, Xiaoming