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 is offered by Food and Drug Administration. Max award: Not specified. This is a forecast; the deadline is not set yet.
| Opportunity number | FOR-FD-24-001 |
|---|---|
| Agency | Food and Drug Administration |
| Status | Forecasted |
| Posted | Nov 20, 2023 |
| Closes | Not set |
| Award ceiling | Not specified |
| Award floor | Not specified |
| Total program funding | $600,000 |
| Expected awards | 1 |
| Who can apply | Public and State controlled institutions of higher education, Small businesses, Native American tribal organizations (other than Federally recognized tribal governments), For profit organizations other than small businesses, Public housing authorities/Indian housing authorities, Special district governments, Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education, Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education, State governments, City or township governments, Independent school districts, Native American tribal governments (Federally recognized), County governments, Private institutions of higher education |
| Category | Food and Nutrition, Health |
Summary (excerpt)
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 p…
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