Simpler Grants.gov #FOR-FD-24-001

FDA Grant for Integrating Machine Learning with CFD Models for Inhaled Drug Products

The Food and Drug Administration (FDA) is seeking proposals for a grant to advance the integration of machine learning (ML) with computational fluid dynamics (CFD) models for orally inhaled drug products (OIDPs). - Government Buyer: - Food and Drug Administration (FDA) - Products/Services Requested: - Development of a methodology to combine ML and CFD for OIDPs - Focus on improving efficiency in bioequivalence studies for generic drug approval - Addressing CFD bottlenecks such as computational time, grid resolution, and data processing - OEMs and Vendors: - No specific OEMs or vendors are named in this opportunity - Unique or Notable Requirements: - Open to nonprofits, businesses, government entities, and educational institutions - Emphasis on innovative approaches to accelerate generic OIDP development - One award expected, valued at $600,000 - Assistance listing 93.103 for FDA research - Place of Performance: - Food and Drug Administration (federal office)

Description

This grant opportunity seeks to develop a methodology to integrate machine learning (ML) with computational fluid dynamics (CFD) models of orally inhaled drug products (OIDPs). The goal is to promote alternative bioequivalence studies to enhance and accelerate the development and approval of generic OIDPs. The project addresses bottlenecks in CFD such as computational time, grid resolution, and data processing, leveraging ML to improve efficiency. Eligible applicants include nonprofits, businesses, government entities, and educational institutions.

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