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.Liked this one? Don’t stop now — Here’s what we think you’ll love!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 thoughtsThe Dairy Health Blackbelt Podcast is trusted and supported by the innovative companies like:* Boehringher Ingelheim- inBarn𝗟𝗶𝘀𝘁𝗲𝗻 𝗼𝗻 𝗔𝗽𝗽𝗹𝗲 𝗣𝗼𝗱𝗰𝗮𝘀𝘁𝘀, 𝗦𝗽𝗼𝘁𝗶𝗳𝘆 𝗼𝗿 𝗮𝗻𝘆 𝗺𝗮𝗷𝗼𝗿 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺.Website: The Dairy Health Blackbelt PodcastLinkedIn: The Dairy Health Blackbelt PodcastInstagram: The Dairy Health Blackbelt PodcastYouTube: The Dairy Health Blackbelt PodcastFacebook: The Dairy Health Blackbelt Podcast

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