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. PlainGrants indexes 481 other opportunities from Food and Drug Administration.
- up to $300K
- award range
- Closed
- application status
- 1
- expected award
- 93.103
- CFDA program
Archived opportunity record
Integrating Machine Learning is closed (last close April 8, 2024). The parent program page for CFDA 93.103 is the reliable place to catch re-announcements. Food and Drug Administration still indexes 481 other opportunities here.
According to Grants.gov (extract vintage 2026-08-10), this record reflects the officially published listing. See methodology.
Deadline tracker
Application window closed
Closed April 8, 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.
Wide-open applicant board · 15 Grants.gov doors
Integrating Machine Learning prints 15 distinct Grants.gov eligibility doors (State governments; County governments; City or township governments; Special district governments; +11 more). Filter fit before reading award size as demand — most applicant classes appear on the row. The extract does not mark applicant cost-sharing as required. Instrument: Cooperative Agreement. Funding-activity codes span Agriculture · Consumer Protection · Food and Nutrition (AG;CP;FN). Only 11 other Food and Drug Administration listings share this exact eligibility-code string (2% of 482).
- Code 00
- State governments
- Code 01
- County governments
- Code 02
- City or township governments
- Code 04
- Special district governments
- Code 05
- Independent school districts
- Code 06
- Public / state-controlled institutions of higher education
- Code 07
- Federally recognized tribal governments
- Code 08
- Public / Indian housing authorities
- Code 11
- Native American tribal organizations (other than Federally recognized tribal governments)
- Code 12
- Nonprofits with 501(c)(3) status (other than IHEs)
- Code 13
- Nonprofits without 501(c)(3) status (other than IHEs)
- Code 20
- Private institutions of higher education
- Code 22
- For-profit organizations other than small businesses
- Code 23
- Small businesses
- Code 99
- Unrestricted / see official listing
Codes are Grants.gov eligibility category values from the extract vintage 2026-08-10. Confirm the full eligibility statement on the official listing or the Grants.gov eligibility reference.
Official Listing on Grants.gov
View full details, application forms, and submission instructions.
Parent Grant Program
Food and Drug Administration Research
U.S. Department of Health and Human Services
Agency Contact
Terrin Brown Grantor
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Use of Digital Health Technologies in Clinical Investigations to Support Drug and Biological Product Development (U01) Clinical Trials Optional
What to do next
Integrating Machine Learning is closed; use the parent program and agency catalog for the next funding cycle.
- Parent CFDA 93.103 may publish future NOFOs under the same assistance listing. Open program
- Food and Drug Administration Research indexes 42 Grants.gov listings in this extract. Program profile
- Food and Drug Administration lists 481 other indexed opportunities on PlainGrants. Agency catalog
Opportunity deadlines and eligibility change on Grants.gov; PlainGrants mirrors the extract and is not the submission system.
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.
Read our methodology - how this data is sourced, computed, and verified.
| Publisher | PlainGrants |
| Sources | the SAM.gov Assistance Listings and Grants.gov |