Using AI to improve antibiotic use data in animals
Official title: Bridging Critical Data Gaps in Veterinary Medicine Via Artificial Intelligence and Advanced Large Language Models to Procure Real-Time Antibiotic Use Data in Livestock, Poultry and Companion Animals
Funded at Kansas State University · NIH-11088668 · Data updated 2026-11-12
This study is working on a smart system to track how antibiotics are used in farm animals and pets, so we can find better ways to keep them healthy and protect everyone from antibiotic resistance.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Kansas State University NIH-funded |
| Lab location | 1 site (Manhattan, United States) |
| Project start | September 15, 2024 |
| Project end | August 31, 2029 |
| Funding year | 2024 |
| Award (this year) | $200,000 |
| NIH project number | 1U01FD008416-01 |
| Project ID | NIH-11088668 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include veterinarians, livestock producers, and pet owners who are concerned about antibiotic use and its implications for health.
✕Less likely to help
Patients who do not own animals or are not involved in veterinary practices may not receive direct benefits from this research.
What this research studies
This research aims to tackle the critical issue of antibiotic resistance in veterinary medicine by developing a platform that collects and analyzes real-time data on antibiotic use in livestock, poultry, and companion animals. By leveraging advanced artificial intelligence and large language models, the project will extract and integrate data from various sources, including veterinary colleges and regulatory bodies. This comprehensive approach will help identify trends in antibiotic usage and inform better practices in animal care, ultimately enhancing animal health and public safety.
Why it matters
Potential benefit: If successful, this research could lead to improved monitoring and regulation of antibiotic use in animals, reducing the risk of antibiotic resistance that can affect both animal and human health.
How similar studies have gone: Other research has shown success in using data analytics and AI to improve health outcomes, suggesting that this approach has the potential for significant impact in veterinary medicine.
Where this research is happening
-
Kansas State University
Manhattan, United States Active
Researchers
- Principal investigator: Jaberi-Douraki, Majid — Kansas State University
- Study coordinator: Jaberi-Douraki, Majid
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.