<?xml version="1.0" encoding="UTF-8"?><item href="/uwag/roots-ranges-listing-page/2025/risk-factors-for-heart-disease-in-cattle.html" dsn="blogs"><title>UW Student Uses Artificial Intelligence to Study Risk Factors for Heart Disease in Cattle</title><description>PhD student Chase Markel of the University of Wyoming is pioneering the use of artificial intelligence to detect risk factors for congestive heart failure in beef cattle. Drawing on his background in animal science and cattle production, Markel built an image classification AI model that scores bovine heart images using a 1–5 scale developed by Colorado State University professor Tim Holt. Trained on nearly 1,000 hand-scored images from commercial processing plants, the model has achieved 92% accuracy. Markel hopes the tool will eventually be integrated into processing plant operations to help identify subclinical disease, improve production efficiency, and directly benefit Wyoming cattle producers.</description><category>Research</category><featuredImage><img src="/uwag/roots-ranges-listing-page/2025/heart-disease-in-cattle.png" alt="Grad students working with bull"/></featuredImage><author>Brooke Ortel, University of Wyoming Extension</author><pubDate>10/07/2025 12:15:47 PM</pubDate><tags><tag>_DO NOT USE TAGS - They will be deleted!</tag></tags></item>