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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RPEM: Randomized Monte Carlo Parametric Expectation Maximization Algorithm
Chen, Rong; Schumitzky, Alan; Kryshchenko, Alona; Nieforth, Keith; Tomashevskiy, Michael; Hu, Shuhua; Garreau, Romain; Otalvaro, Julian; Yamada, Walter; Neely, Michael N
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The Role of Model Master Files for Sharing, Acceptance, and Communication with FDA
Fang, Lanyan; Gong, Yuqing; Hooker, A; Lukacova, Viera; Rostami-Hodjegan, Amin; Sale, Mark; Grosser, Stella; Jereb, Rebeka; Savic, Rada; Peck, Carl; Zhao, Liang
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Application of Advanced Modeling Approaches Supporting Generic Product Development Under GDUFA for Fiscal Year 2023
Tsakalozou, Eleftheria; Gong, Yuqing; Babiskin, Andrew; Hu, Meng; Mousa, Youssef; Walenga, Ross; Wu, Fang; Yoon, Miyoung; Raney, Sam G; Polli, James E.; Schwendeman, Anna; Krishnan, Vishalakshi; Fang, Lanyan; Zhao, Liang
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Parameterization of Physiologically Based Biopharmaceutics: Workshop Summary Report
Pepin, Xavier; Arora, Sumit; Borges, Luiza; Cano, Mario; Carducci, Tessa; Chatterjee, Parnali; Chen, Grace; Cristofoletti, Rodrigo; Dallmann, Andre; Delvadia, Poonam; Dressman, Jennifer; Fotaki, Nikoletta; Gray, Elizabeth; Heimbach, Tycho; Holte, Oyvind; Kijima, Shinichi; Kotzagiorgis, Evangelos; Lennernas, Hans; Lindahl, Anders; Loebenberg, Raimar; Mackie, Claire; Malamatari, Maria; Mcallister, Mark; Mitra, Amitava; Moody, Rebecca; Mudie, Deanna; Musuamba, Flora; E, James; Rege, Bhagwant; Ren, Xiaojun; Rullo, Gregory; Scherholz, Megerle; Song, Ivy; Stillhart, Cordula; Saurez, Sandra; Tannergren, Christer; Tsakalozou, Eleftheria; Veerasingham, Shereeni; Wagner, Christian; Seo, Paul
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FDA Recommendations for Alternative Bioequivalence Approaches: Design, Validation, and Use Case for In Silico Studies
Walenga, Ross
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Clinical Ocular Exposure Extrapolation for a Complex Ophthalmic Suspension Using Physiologically Based Pharmacokinetic Modeling and Simulation
Le Merdy, M; Spires, J; Tan, M-L; Zhao, Liang; Lukacova, Viera
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Leveraging Modeling and Simulation to Enhance the Efficiency of Bioequivalence Approaches for Generic Drugs: Highlights from the 2023 Generic Drug Science and Research Initiatives Public Workshop
Pal, Arindom; Wu, Fang; Walenga, Ross; Tsakalozou, Eleftheria; Alam, Khondoker; Gong, Yuqing; Liang, Zhao; Fang, Lanyan
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CFD-PK Model for Nasal Suspension Sprays: Validation with Human Adult In Vivo Data for Triamcinolone Acetonide
Dutta, R; Kolanjiyil, AV; Walenga, R; Chopski, S; Kaviratna, Anubhav; Mohan, Abhinav; Newman, Bryan; Golshahi, L; Longest, Worth
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Anatomically-Detailed Segmented Representative Adult and Pediatric Nasal Models for Assessing Regional Drug Delivery and Bioequivalence with Suspension Nasal Sprays
Khadka, Prakash; Hejazi, Mohammed; Hindle, Michael; Schuman, Theodore; Longest, Worth; Kaviratna, Anubhav; Chopski, Steven; Walenga, Ross; Newman, Bryan; Golshahi, Laleh
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Sensitivity of Charcoal Block PK Metrics to Differences in Regional Deposition for Budesonide and Formoterol Fumarate Dihydrate
Walenga, Ross; Tsakalozou, Eleftheria; Chopski, Steven; Fang, L; Zhao, Liang