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Integrating Machine Learning with Computational Fluid Dynamics Models of Orally Inhaled Drug Products (U01) Clinical Trials Not Allowed is sponsored by U.S. Food and Drug Administration (FDA). This grant aims to develop a methodology for integrating machine learning with computational fluid dynamics (CFD) models of orally inhaled drug products (OIDPs).
The goal is to promote alternative bioequivalence studies and enhance the development and approval of generic OIDPs.
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FDA -- Integrating Machine Learning with Computational Fluid Dynamics Models of Orally Inhaled Drug Products (U01) Clinical Trials Not Allowed | Research Funding National Institutes of Health FDA -- Integrating Machine Learning with Computational Fluid Dynamics Models of Orally Inhaled Drug Products (U01) Clinical Trials Not Allowed Computational fluid dynamics (CFD) has played a crucial role in providing an alternative bioequivalence (BE) approach for generic orally inhaled drug products (OIDPs), in addition to comparative clinical endpoint or pharmacodynamic BE studies, as a relatively cost- and time-efficient complement to benchtop and clinical experiments that has been widely used in developing and assessing generic inhaler devices.
However, despite the advances in the power of modern computers, there are still some bottlenecks in using CFD due to computational time, limited grid resolution, pre- and post-processing of large simulation data sets, model parameter estimations, and uncertainty quantifications. Machine learning (ML) has been gaining more attention as a potential tool to alleviate such limitations that arise in CFD.
The purpose of this grant is to develop a methodology to integrate ML with CFD models of OIDPs to promote alternative BE studies to enhance and accelerate the development and approval of generic OIDPs.
Letter of Intent Due Date(s): February 15, 2024 Application Due Date(s): March 31, 2024 RFA-FD-24-005 Expiration Date April 1, 2024 Application budgets need to reflect the actual needs of the proposed project and should not exceed the following in total costs (direct and indirect): Engineering and Physical Sciences Medical - Clinical Science
According to the current listing, eligibility includes: Nonprofits, Universities, State/local governments, Small businesses, For-profit organizations other than small businesses, City or township governments, County governments, Special district governments, Federally recogn…. Confirm the full requirements in the official notice before applying.
The current listing shows $600,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Integrating Machine Learning with Computational Fluid Dynamics Models of Orally Inhaled Drug Products (U01) Clinical Trials Not Allowed is funded by U.S. Food and Drug Administration (FDA). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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