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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Comparison of Clinical Outcomes Following a Switch From a Brand to an Authorized vs. Independent Generic Drug
Hansen, Richard; Qian, Jingjing; Berg, Richard; Linneman, James; Seoane-Vazquez, Enrique; Dutcher, Sarah; Raofi, Saeid; Page, David; Peissig, Peggy
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Area-level Socioeconomic Status Indicators for Observational Studies of Medication User: A Comparison of Zip Code and Cencus-block Group Based Aggregation
Gopalakrishnan, Chandrasekar; Gagne, Joshua; Sarpatwari, Ameet; Dejene, Sara; Dutcher, Sarah; Levin, Raisa; Franklin, Jessica; Desai, Rishi
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Revealing Association between Kinases and Adverse Events for Small-Molecule Tyrosine Kinase Inhibitors Using Machine Learning Method
Gong, Xiajing; Hu, Meng; Liu, Jinzhong; Zhao, Liang
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Big Data Toolsets to Pharmacometrics: Application of Machine Learning for Time-to-Event Analysis
Gong, Xiajing; Hu, Meng; Zhao, Liang
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Comparative Outcomes of Treatment Initiation with Brand Versus Generic Warfarin: a Medicare Cohort Study
Desai, Rishi; Gopalakrishnan, Chandrasekar; Dejene, Sara; Sarpatwari, Ameet; Levin, Raisa; Dutcher, Sarah; Wang, Zhong; Wittayanukorn, Saranrat; Franklin, Jessica; Gagne, Joshua