Integrating Machine Learning with Computational Fluid Dynamics Models of Orally Inhaled Drug Products (U01) Clinical Trials Not Allowed
ID: 351059Type: Forecasted
Overview

Buyer

Food and Drug Administration (HHS-FDA)

Eligible Applicants

Small Businesses

Funding Category

Food and Nutrition

Funding Instrument

Grant

Opportunity Category

Discretionary

Cost Sharing or Matching Requirement

Yes

Original Source

https://grants.gov/search-results-detail/351059
Timeline
    Description

    The Food and Drug Administration (FDA) is forecasting a grant opportunity titled "Integrating Machine Learning with Computational Fluid Dynamics Models of Orally Inhaled Drug Products (U01) Clinical Trials Not Allowed." This grant aims to develop methodologies that integrate machine learning with computational fluid dynamics (CFD) models to enhance bioequivalence studies for generic orally inhaled drug products (OIDPs), addressing existing limitations in CFD applications. The integration of these technologies is crucial for improving the efficiency and effectiveness of the development and approval processes for generic inhalers. The estimated total program funding is $600,000, with one award expected, and interested applicants can contact Terrin Brown at terrin.brown@fda.hhs.gov or call 240-402-7610 for further information. The opportunity is set for fiscal year 2024 and does not require cost sharing or matching.

    Point(s) of Contact
    Terrin Brown Grants Management Specialist
    (240) 402-7610
    terrin.brown@fda.hhs.gov
    Files
    No associated files provided.
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