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Translational Centers Using Microphysiological Systems for Infectious Diseases (U54 Clinical Trial Not Allowed)

National Institutes of Health

Posted Oct 20, 2026

Deadline
Jan 29, 2027
92 days remaining
Amount
Varies
Status
Open
Geographic Scope
National

Description

The purpose of this notice of funding opportunity (NOFO) is to support a consortium of Translational Centers using Microphysiological Systems (MPS) for Infectious Diseases (TCMID). Recent efforts in the MPS fields are moving towards validation and regulatory use but have not focused upon models studying infectious diseases and testing of medical interventions. The NIH and FDA have recently issued guidance and established initiatives for enhancing use of New Approach Methodologies (NAMs) in research and product development. This includes in vitro systems that allow scientists to model human disease and capture human variability and patient-specific characteristics that will accelerate safer treatments for patients while reducing costs and sparing use of laboratory animals. To meet this need, the Centers will refine well validated human tissue models studying infectious diseases to a level consistent with regulatory qualifications that will promote their adoption for use by product developers, supporting regulatory acceptance.

AI Summary

This NIH funding opportunity supports a consortium of Translational Centers that will refine validated human tissue models (microphysiological systems) for studying infectious diseases and testing medical interventions, with the goal of reaching a level that regulators and product developers can adopt. The aim is to make these lab-based models a safer, lower-cost alternative to some animal testing. The notice is a clinical-trial-not-allowed award, so it does not fund clinical trials.

Funding Details

Key Dates

Posted: Oct 20, 2026Deadline: Jan 29, 2027

Quick Facts

CFDA Number
93.310
Funder Type
Federal Agency
Grant Level
FEDERAL
Last Verified
Oct 20, 2026

Geographic Scope

national

ReferenceGL-02BEE7

02bee722-8237-4019-9ffa-f994d7f257d2

Intelligence

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