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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Efficient model-based Bioequivalence Testing
Mollenhoff, Kathrin; Loingeville, Florence; Bertrand, Julie; Nguyen, Thu Thuy; Sharan, Satish; Zhao, Liang; Fang, Lanyan; Sun, Guoying; Grosser, Stella; Mentre, France; Dette, Holger
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Use of Partial Area Under the Curve in Bioavailability or Bioequivalence Assessments: A Regulatory Perspective
Fang, Lanyan; Uppoor, Ramana; Xu, Mingjiang; Sharan, Satish; Zhu, Hao; Tampal, Nilufer; Li, Bing; Zhang, Lei; Lionberger, Robert; Zhao, Liang
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Scientific and Regulatory Activities Initiated by the U.S. Food and Drug Administration to Foster Approvals of Generic Dry Powder Inhalers: Bioequivalence Perspective
Newman, Bryan; Babiskin, Andrew; Bielski, Elizabeth; Boc, Susan; Dhapare, Sneha; Fang, Lanyan; Feibus, Karen; Kaviratna, Anubhav; Li, Bing V; Luke, Markham; Ma, Tian; Walenga, Ross; Wang, Zhong; Zhao, Liang; El-Gendy, Nashwa; Bertha, Craig; El-Shafy, Mohammed; Gaglani, Dhaval
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Impact of Sex on Clinical Response in Rheumatoid Arthritis Patients Treated With Biologics at Approved Dosing Regimens
Fang, Lanyan; Song, Xuyang; Ji, Ping; Wang, Yaning; Maynard, Janet; Yim, Sarah; Sahajwalla, Chandrahas; Xu, Mingjiang; Kim, Myong Jin; Zhao, Liang
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Novel Bioequivalence Approach for Narrow Therapeutic Index Drugs
Yu, Lawrence; Jiang, Wenlei; Zhang, Xinyuan; Lionberger, Robert; Makhlouf, Fairouz; Schuirmann, Donald; Muldowney, Laurie; Chen, Meiling; Davit, Barbara; Conner, Dale; Woodcock, Janet
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A Multiscale Physiologically-Based Pharmacokinetic Model for Doxorubicin to Explore its Mechanisms of Cytotoxicity and Cardiotoxicity in Human Physiological Contexts
He, Hua; Liu, Can; Wu, Yun; Zhang, Xinyuan; Fan, Jianghong; Cao, Yanguang
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Mathematical Modeling of the Heterogeneous Distributions of Nanomedicines in Solid Tumors
He, Hua; Liu, Can; Liu, Yuhui; Liu, Xiaoquan; Wu, Yun; Fan, Jianghong; Zhao, Liang; Cao, Yanguang
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Impact of Vehicle Physicochemical Properties on Modeling-Based Predictions of Cyclosporine Ophthalmic Emulsion Bioavailability and Tear Film Breakup Time
Walenga, Ross; Babiskin, Andrew; Zhang, Xinyuan; Absar, Mohammad; Zhao, Liang; Lionberger, Robert
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Prediction of In Vitro Drug Dissolution into Fed-state Biorelevant Media: Contributions of Solubility Enhancement and Relatively Low Colloid Diffusivity
Polli, James E.
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Effects of Dose Loading Conditions and Device Geometry on the Transport and a Aerosolization in Dry Powder Inhalers: A Simulation Study
Sulaiman, Mostafa; Liu, Xiaoyu; Sundaresan, Sankaran