Well Told Grants

Grants / Department of Health and Human Services / Food and Drug Administration

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

Forecast Forecast, no dates yet Opportunity FOR-FD-24-003

Food and Drug Administration plans to offer grants of up to $300,000 (at least $300,000) to any type of organization. It expects to make one award. It is a forecast, and no dates have been set yet.

From the official notice on Grants.gov, last changed November 24, 2023. Checked October 31, 2026.

Key dates

Forecast postedNovember 24, 2023

Who can apply

This opportunity is open to any type of organization.

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).

More grants for nonprofits, colleges and universities, state and local governments, tribes, small businesses, businesses, individuals.

Is this a realistic fit?

What the grant funds

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.

Category: Agriculture, Consumer Protection, Food and Nutrition.

How to apply

  1. Read the full notice and attachments on Grants.gov. The notice is the official source for deadlines and requirements.
  2. Make sure your organization has an active SAM.gov registration and Unique Entity ID; registration can take several weeks.
  3. Register on Grants.gov and submit through Workspace before the deadline and time given in the notice. Our application guide walks through each step.

Questions go to Terrin Brown, Grantor, terrin.brown@fda.hhs.gov, 2403387494.

Open the official notice

Questions people ask

Who can apply for 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?

Food and Drug Administration accepts applications from any type of organization. The notice adds further conditions, so read its eligibility section.

What is the deadline for 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?

Forecast, no dates yet. Confirm the date and time in the official notice on Grants.gov.

How much funding is available?

Awards of up to $300,000 each.

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