Computational Fluid Dynamics (CFD) and Machine Learning (ML) Integration for Orally Inhaled Drug Products (OIDPs)

Computational Fluid Dynamics (CFD) and Machine Learning (ML) Integration for Orally Inhaled Drug Products (OIDPs) is sponsored by U.S. Food and Drug Administration (FDA). This grant aims to develop a methodology to integrate Machine Learning with Computational Fluid Dynamics models for orally inhaled drug products.

Opportunity Listing - Integrating Machine Learning with Computational Fluid Dynamics Models of Orally Inhaled Drug Products (U01) Clinical Trials Not Allowed Integrating Machine Learning with Computational Fluid Dynamics Models of Orally Inhaled Drug Products (U01) Clinical Trials Not Allowed Agency: Food and Drug Administration Assistance Listings: 93.

103 -- Food and Drug Administration Research Last Updated: May 13, 2026 View version history on Grants.

gov 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.

Other Native American tribal organizations Nonprofits non-higher education without 501(c)(3) Nonprofits non-higher education with 501(c)(3) For-profit organizations other than small businesses Special district governments Federally recognized Native American tribal governments City or township governments Public and Indian housing authorities Private institutions of higher education Independent school districts Public and state institutions of higher education Grantor contact information Grants Management Specialist No documents are currently available.

Link to additional information Estimated Application Due Date : Estimated Due Date Description : Estimated Project Start Date : Funding opportunity number : Cost sharing or matching requirement : Funding instrument type : Opportunity Category Explanation : Category of Funding Activity : Your account requires additional identity verification.