GDUFA Research Outcomes
Quantitative Methods & Models
The Generic Drug User Fee Amendments (GDUFA) science and research program facilitates patient access to high-quality generic drugs by advancing research in areas where generic product development has been limited or prevented due to knowledge gaps about the kind of evidence needed to demonstrate that a generic product is the same as its brand name reference listed drug product. Leaders and experts across the generic industry collaborate to establish GDUFA research priorities for the most pressing scientific challenges they face with generic product development. Scientists and clinicians from industry, academia, and the U.S. Food and Drug Administration (FDA) strategically design research in these areas so that the outcomes help to build scientific bridges across the knowledge gaps, thereby facilitating pharmaceutical manufacturers to develop generic drugs that were previously challenging or unfeasible to develop.
A major GDUFA science and research priority is to facilitate the utility of model-integrated evidence (MIE) to support demonstrations of bioequivalence (BE). The advancement of research in this area focuses on developing tools and advancing approaches to integrate complementary in silico (modeling), in vivo, and in vitro evidence in ways that collectively mitigate the risk of failure modes for BE and support a framework for virtual BE studies. For example, while it may not be feasible to adequately characterize the long-term bioavailability of drugs from LAI products using in vivo or in vitro methods alone, it may be feasible to integrate limited in vivo and in vitro data with PBPK models that generate the remaining evidence needed to support a demonstration of BE. This area includes research on the use of MIE to evaluate failure modes for BE and to optimize the design of BE studies.
Outcomes including scientific publications, presentations, and posters arising from GDUFA-funded research in this priority area are available in this section.
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Innovative Technology: Particle Image Velocimetry (PIV) and High Speed Imaging to Support Approval of Generic Orally Inhaled Drug Products
Chopski, Steven
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Assessment of Effects of Selective Airway Luminal Expansion on Inhaled Particle Deposition in Severe Asthmatic Human Lungs – A Numerical Study
Choi, Jiwoong; Choi, Sanghun; Hoffman, Eric; O’Shaughenessy, Patrick; Castro, Mario; Delvadia, Renishkumar; Walenga, Ross; Babiskin, Andrew; Lin, Ching-Long
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Characteristics of Inhaled Particle Deposition in the Lungs of Imaging-based Asthma Clusters: a Numerical Study
Choi, J; Leblanc, L; Choi, S; Haghighi, B; Hoffman, E; O’shaughnessy, P; Wenzel, S; Castro, M; Fain, S; Jarjour, N; Schielbler, M; Denlinger, L; Lin, C
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Cluster-guided Imaging-based CFD Analysis of Airflow and Particle Deposition in Asthmatic Human Lungs
Choi, J; Leblanc, L; Choi, S; Haghighi, B; Hoffman, E; Lin, C
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A Population PK Based Model-Integrated BE Platform
Chen, X; Nyberg, H; Assawasuwannakit, P; Ryeznik, Y; Karlsson, M
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Model-based Bioequivalence Evaluation for Ophthalmic Products Using Model Averaging Approaches
Chen, Xiaomei; Hooker, Andrew; Nyberg, Henrik; Karlsson, Mats
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Current Scientific Considerations in Modeling for In Vitro BE of Topically Administered Ophthalmics
Chandran, Sajeev
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Approaches in Establishing BE Safe Space for Oral Solid Dosage Form
Chakraborty, Sumon
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Use of Mechanistic Modelling to Determine the Sensitivity of in vitro CQAs to Regional Lung Deposition and Predict PK for OIDPs
Butler, Clare
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Studies to Further Establish PK as Central Tool for a Streamlined Approval of Generic Inhalation Drugs
Bulitta, Jurgen; Hochhaus, Gunther