# FDA Veterinary Laboratory Investigation and Response Network Cooperative Agreement Program

> **NIH FDA R18** · TEXAS A&M AGRILIFE RESEARCH · 2022 · $26,474

## Abstract

Project Summary/Abstract
The objective of this Food and Drug Administration (FDA) Veterinary Laboratory Response Network (Vet-
LIRN) Cooperative Agreement Program is to enable the analyses of animal diagnostic samples, animal
foods, and animal drugs when laboratory investigations or surge testing are needed for analyses related
to research and testing of microbiological or chemical contamination, either through intentional or
unintentional means.
This program will increase the ability to conduct investigations via laboratory analysis by supporting new
and rapid analytical techniques and providing for well-equipped and staff laboratory facilities. The
outcomes will result in increased Vet-LIRN laboratory research and capacity to investigate potential
animal foodborne illness outbreaks by fostering training, the use of new technologies, and improving
the effectiveness of collaborative partnerships.
Funding offered by this program can provide laboratories with the infrastructure to enhance their
testing capabilities for both microbiological and chemical methodologies. These cooperative agreements
are also intended to expand participation in networks to enhance Federal, State, local, and tribal food
safety and security efforts.

## Key facts

- **NIH application ID:** 10572969
- **Project number:** 1R18FD007595-01
- **Recipient organization:** TEXAS A&M AGRILIFE RESEARCH
- **Principal Investigator:** Amy Swinford
- **Activity code:** R18 (R01, R21, SBIR, etc.)
- **Funding institute:** FDA
- **Fiscal year:** 2022
- **Award amount:** $26,474
- **Award type:** 1
- **Project period:** 2022-06-01 → 2027-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10572969

## Citation

> US National Institutes of Health, RePORTER application 10572969, FDA Veterinary Laboratory Investigation and Response Network Cooperative Agreement Program (1R18FD007595-01). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10572969. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*