Renata Ivanek Miojevic
Cornell University, NY·Public Health & Epidemiology
Antibiotics used in livestock are part of the larger problem of antimicrobial resistance, when bacteria stop responding to drugs that once killed them. Yet in the United States there is no way to track how much antibiotic each individual dairy cow receives nationally.
- Fields
Public Health & Epidemiology
Medicine & Clinical Research
Plant Science & Agriculture
- Topics
antimicrobial use
antimicrobial resistance
antimicrobial stewardship
- Grants
- 1 known grant, through Aug 2029
What they work on
- Collect detailed, complete and validated multi-year records of antimicrobial use at the individual animal level on dairy farms.
- Build an animal-level antimicrobial use monitoring system for dairy cattle that returns instant private clinical and business insights to farmers while standardizing and automating data collection.
- Test whether augmentation with synthetic data and privacy-preserving techniques can let farmers retain governance of their antimicrobial use records while still enabling peer comparison and learning.
- Evaluate how dairy farmers and veterinarians perceive antimicrobial use monitoring, and what they need from it, to guide a use-inspired system design.
More about the research
Without that information, veterinarians cannot build data-driven antibiotic stewardship, and researchers cannot pin down how drug use on farms relates to resistance in animals, people and the environment, a central One Health question. Monitoring requires farms to share data, and most farmers have little reason to: data collection adds labor to already long days, and they worry about losing privacy and competitive advantage.
Why it matters
Antimicrobial resistance is a major threat to human and animal health, and policy currently rests on coarse estimates of farm antibiotic use. A monitoring system that farmers actually want to join could supply the detailed, animal-level data needed for better stewardship on dairy farms, give farmers clinical and business feedback on their own treatment decisions, and inform national policy linking antibiotic use to resistance.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Majid Jaberi-Douraki
Kansas State University, KS·Computer Science
Extract antimicrobial use data for major livestock and poultry species by building the LAMU-AI web-crawler, which applies machine learning and a large language model to FARAD records and regulatory data.
Bradford Becken
University of Nebraska Medical Center, NE·Medicine & Clinical Research
Assess the translation potential of an automated dynamic antibiogram through experiential learning and first-hand interviews across the healthcare industry ecosystem.
Jonathan Chen
Stanford University, CA·Medicine & Clinical Research
Harmonize and share electronic health record data on suspected urinary tract infections across Stanford, UT Southwestern and Harvard to support multi-site model building.
The school
Cornell University: 37 labs on PI Pages, $1.6B a year on research, 537 research doctorates a year.
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