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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
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Service Source Final Application Due Date Funding Available Match Required
Health Care Federal
HHS
See FOA N/A No Match
Required
  • Service
  • Source
  • Final Application Due Date
  • Funding Available
  • Match Required
Status
  • Past
  • Current
  • Forecasted
  • $300,000
  • $300,000
  • Award Floor
  • Award Ceiling
    • Expected Number of Awards 1
    • Opportunity Type Discretionary
    • CFDA

      93.103 -- Food and Drug Administration Research

    Description

    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.

    Eligibility
    • IHE
    • Local Government
    • Non-Profit
    • Other
    • State Government
    • Tribal Government
    Additional Eligibility Information

    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).

    Key Date(s)
    • November 24, 2023: Last Updated Date
    • November 24, 2023: Forecasted Date
    Contact Information
    Terrin Brown Grantor 2403387494 terrin.brown@fda.hhs.gov

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