Closed · RFA-FD-24-005 · CFDA 93.103 · Discretionary

Integrating Machine Learning with Computational Fluid Dynamics Models of Orally Inhaled Drug Products (U01) Clinical Trials Not Allowed

Federal grant opportunity posted by Food and Drug Administration, cataloged on Grants.gov.

up to $300K
Award range
Closed
Status
April 8, 2024
Close date
1
Expected awards

The verdict

Integrating Machine Learning with Computational Fluid Dynamics Models of Orally Inhaled Drug Products (U01) Clinical Trials Not Allowed is a closed discretionary listing from Food and Drug Administration that offered Up to $300,000 across 1 expected award. Future funding cycles may be published under the same CFDA number.

up to $300K
award range
Closed
application status
1
expected award
93.103
CFDA program

Opportunity snapshot. This Grants.gov announcement - Integrating Machine Learning with Computational Fluid Dynamics Models of Orally Inhaled Drug Products (U01) Clinical Trials Not Allowed - is cataloged under number RFA-FD-24-005 and tied to CFDA assistance listing 93.103, posted by Food and Drug Administration. Grants.gov currently shows the opportunity as closed, first posted on January 15, 2024 and last updated on April 2, 2024. The funding category is Discretionary, delivered as a cooperative agreement.

Award economics. The award range on file is Up to $300,000. The agency has projected $300,000 in total estimated funding for this announcement. It expects to issue 1 award. If the agency funds the expected 1 award from the $300,000 estimated pool, the average award works out to roughly $300,000. Cost sharing is not required, so applicants do not need to commit matching funds to be competitive on this opportunity. Federal award ranges are often upper bounds; actual allocations reflect program appropriations, the strength of the applicant pool, and the evaluation committee's scoring.

Deadline and action path. This opportunity closed on April 8, 2024. Future funding cycles may be published under the same CFDA number, so monitoring the parent program page is the most reliable way to catch re-announcements. Every Grants.gov submission requires an active SAM.gov registration and a Unique Entity ID. Review the Eligibility section below carefully, federal eligibility categories (nonprofit, state or local government, tribal, individual, educational institution, small business) have distinct registration and reporting requirements. Pre-application outreach to the listed agency contact is permitted and often welcomed, it helps clarify scope and scoring priorities. Before acting on the deadline or award figures above, verify them directly on the official Grants.gov listing, amendments can change dates and amounts after this page was last refreshed.

Award Range

Up to $300,000

Close Date

April 8, 2024

Posted

January 15, 2024

Est. Total Funding

$300,000

Expected Awards

1

Instrument

Cooperative Agreement

Description

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.

Eligibility

Grants.gov lists this opportunity under eligibility category codes 00, 01, 02, 04, 05, 06, 07, 08, 11, 12, 13, 20, 22, 23, 99. These codes correspond to applicant types (state/local government, tribal organization, nonprofit, educational institution, individual, small business, etc.) defined in Grants.gov's own eligibility reference. See the current Grants.gov eligibility categories or check the official listing below for this opportunity's exact eligibility statement.

Official Listing on Grants.gov

View full details, application forms, and submission instructions.

View on Grants.gov

Agency Contact

Terrin Brown Grantor

Key Dates

Posted January 15, 2024
Close Date April 8, 2024
Archive Date April 30, 2024
Last Updated April 2, 2024

Frequently Asked Questions

What is this grant opportunity?
This is a federal funding opportunity titled "Integrating Machine Learning with Computational Fluid Dynamics Models of Orally Inhaled Drug Products (U01) Clinical Trials Not Allowed", offered by Food and Drug Administration. It is associated with CFDA program 93.103. 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 clini...
Is this opportunity still open?
No, this opportunity is closed. It closed on April 8, 2024. Check the parent program page for future funding cycles.
How much funding is available?
The award range for this opportunity is Up to $300,000. Total estimated funding: $300,000. Expected number of awards: 1.
How do I apply?
Applications for federal grant opportunities are typically submitted through Grants.gov. Visit the official listing at grants.gov for application instructions, required documents, and submission deadlines.

Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.

Data sourced from the SAM.gov Assistance Listings and Grants.gov. See our methodology for details. Retrieved and formatted by PlainGrants