Dr. Vinicius Machado: Selective Therapy for Metritis in Dairy Cows | Ep. 61
In this episode of The Dairy Health Blackbelt Podcast, Dr. Vinicius Machado, Associate Professor at Texas Tech University, explains how selective therapy for metritis can reduce antimicrobial use in dairy cows. Dr. Machado discusses cow-level data, biomarkers, farm technologies, AI-based prediction models, and validation steps that protect productivity, reproduction, and animal welfare. Listen now on all major platforms!
"AI-based algorithms increased metritis treatment prediction accuracy from about 75% to nearly 95%, creating stronger support for selective therapy decisions."
Meet the guest: Dr. Vinicius Machado is an Associate Professor at Texas Tech University, where his work focuses on dairy science, epidemiology, animal health, and precision livestock strategies. Research connects cow-level data, biomarkers, and predictive modeling to improve dairy cow health and reduce antimicrobial use. Learn more from Dr. Vinicius Machado on The Dairy Health Blackbelt Podcast, available on all major platforms.
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What you will learn:
- (00:00) Highlight
- (01:23) Introduction
- (02:27) Selective therapy
- (03:15) Cow data
- (05:32) Research stages
- (06:54) AI models
- (08:10) Strategy validation
- (11:59) Closing thoughts
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