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

Source: https://welltoldgrants.com/grants/for-fd-24-001-integrating-machine-learning-with-computational-fluid/  
Official notice: https://www.grants.gov/search-results-detail/351059

> Food and Drug Administration plans to offer grants to nonprofits, colleges and universities, state and local governments, tribes, small businesses and businesses. It expects to make one award worth $600,000 in total. It is a forecast, and no dates have been set yet.

| Field | Value |
|---|---|
| Opportunity number | FOR-FD-24-001 |
| Agency | Food and Drug Administration |
| Status | Forecast |
| Deadline | not set |
| Award ceiling | not stated |
| Award floor | not stated |
| Expected awards | 1 |
| Total funding | $600,000 |
| Cost sharing | not required |
| Assistance Listings | 93.103 |

## Who can apply

- State governments
- County governments
- City or township governments
- Special district governments
- Independent school districts
- Public and State controlled institutions of higher education
- Native American tribal governments (Federally recognized)
- Public housing authorities/Indian housing authorities
- Native American tribal organizations (other than Federally recognized tribal governments)
- Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education
- Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education
- Private institutions of higher education
- For profit organizations other than small businesses
- Small businesses

## What the grant funds

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.

## Questions people ask

### Who can apply for Integrating Machine Learning with Computational Fluid Dynamics Models of Orally Inhaled Drug Products (U01) Clinical Trials Not Allowed?

Food and Drug Administration accepts applications from nonprofits, colleges and universities, state and local governments, tribes, small businesses and businesses.

### What is the deadline for Integrating Machine Learning with Computational Fluid Dynamics Models of Orally Inhaled Drug Products (U01) Clinical Trials Not Allowed?

Forecast, no dates yet. Confirm the date and time in the official notice on Grants.gov.

### How much funding is available?

About $600,000 in total for one award.