Scout | FOR-FD-24-001: Integrating Machine Learning with Computational Fluid Dynamics Models of Orally Inhaled Drug Products (U01) Clinical Trials Not Allowed

forecast FOR-FD-24-001

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

Summary

This grant opportunity aims to develop methods that integrate machine learning with computational fluid dynamics (CFD) models, specifically for generic orally inhaled drug products (OIDPs). By combining ML with CFD, the goal is to improve and speed up the development and approval processes for these generic inhalers, overcoming current limitations like computational time and data processing ch…

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 compl…

Funding Source

Agency: Food and Drug Administration

Awards & funding

Total Funding: $600,000

Eligibility

Native American tribal organizations (other than Federally recognized tribal governments)

Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education

Public and State controlled institutions of higher education

Small businesses

State governments

Supporting links

grants.gov

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