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Forecasted

Utilizing Real-World Data and Algorithmic Analyses to Assess Post-Market Clinical Outcomes in Patients Switching Amongst Therapeutically Equivalent Complex Generic Drug Products and Reference Listed Drugs (U01) Clinical Trial Not Allowed

View forecast on Grants.gov →Forecasted — not yet open

Posted
November 24, 2023
Closes
See announcement
Award ceiling
$300,000
Award floor
$300,000
Expected awards
1
Cost sharing
No
Instrument
Cooperative Agreement
Assistance listing
93.103
Category
Agriculture, Consumer Protection, Food and Nutrition

Program funding history

Awards made under Assistance Listing 93.103 across FY2024–FY2026, from public federal spending records.

FY2024 obligated
$250.8M
FY2025 obligated
$213M
FY2026 (to date) obligated
$65.5M
Awards in window
920

Top recipients: The Critical Path Institute, National Environmental Health Association, Association of Food & Drug Officials, The Medical Device Innovation Consortium, Food & Agriculture, California Department of

Source: USAspending.gov · refreshed August 2026

Synopsis

Complex generic drug products represent an increasing share of the generic marketplace and may have distinct user interface differences compared to reference listed drug (RLD) products. A modernized post-market surveillance approach is needed to compare clinical outcomes between complex generic products and their corresponding RLD products to monitor for potential issues with therapeutic equivalence and to inform regulatory decision making. Real-world data (RWD) combined with machine learning (ML) and/or artificial intelligence (AI) could help to identify post-market signals efficiently in an automated and repeatable fashion, facilitating timely regulatory action. The purpose of this funding opportunity is to develop and test an AI- or ML-based algorithmic RWD model for post-market surveillance of complex generic drug products. 

Who can apply

Applicant organizations may submit more than one application, provided that each application is scientifically distinct. The FDA will not accept duplicate or highly overlapping applications under review at the same time per 2.3.7.4 Submission of Resubmission Application. This means that the NIH or FDA will not accept:•A new (A0) application that is submitted before issuance of the summary statement from the review of an overlapping new (A0) or resubmission (A1) application.•A resubmission (A1) application that is submitted before issuance of the summary statement from the review of the previous new (A0) application.•An application that has substantial overlap with another application pending appeal of initial peer review (see 2.3.9.4 Similar, Essentially Identical, or Identical Applications).

How to apply

Applications go through the official government listing. Grants Radar links you straight to the source — applying is free.

View on Grants.gov

Agency contact: Terrin Brown Grantor · [email protected] · 2403387494

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