Scout | U01 grant to integrate machine learning with CFD models for oral inhaler bioequivalence studies

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U01 grant to integrate machine learning with CFD models for oral inhaler bioequivalence studies

This opportunity funds research to develop methods that combine machine learning with computational fluid dynamics (CFD) models for orally inhaled drug products (OIDPs). The goal is to address CFD bottlenecks—like long run times, limited grid resolution, heavy data handling, parameter estimation, and uncertainty quantification—to speed up alternative bioequivalence (BE) studies for generic inh…

Source

Agency: Food and Drug Administration

Award

Total Funding: $600,000

Eligibility

government

nonprofit

small_business

tribal

university

For profit organizations other than small businesses

Native American tribal governments (Federally recognized)

Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education

Private institutions of higher education

State governments

Keywords

computational fluid dynamics

machine learning

bioequivalence

inhaled drug products

generic inhalers

uncertainty quantification

modeling methodology

Supporting Links

Documents

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