In this episode of The Swine Health Blackbelt Podcast, Dr. Jessica Risser from Elanco explains new research leveraging artificial intelligence to evaluate PRRSV strains using whole-genome data. She explains how challenge studies, host immune responses, and sequencing data inform a model that predicts how emerging strains may behave. Discover what this work means for PRRS management and future decision-making in swine health. Listen now on all major platforms."We've spent several years figuring out where artificial intelligence tools can help the industry better predict how emerging PRRSV strains may behave, providing faster insights for stronger herd health decisions."𝗠𝗲𝗲𝘁 𝘁𝗵𝗲 𝗴𝘂𝗲𝘀𝘁: Dr. Jessica Risser is a Swine Technical Consultant at Elanco and previously spent a decade managing animal health and welfare for Country View Family Farms and Clemens Food Group. She holds a DVM from North Carolina State University and a biochemistry degree from West Virginia University. Her work focuses on applying data and technology to strengthen decision-making in swine health. Click here to learn more!Liked this one? Don’t stop now — Here’s what we think you’ll love!What you will learn:(00:00) Highlight(01:10) Introduction(02:50) AI for PRRSV(04:47) Host immune insights(05:07) Genome sequencing(06:56) Prediction model building(08:55) Model validation(15:35) Closing thoughtsThe Swine Health Blackbelt Podcast is trusted and supported by innovative companies like:- Elanco* Boehringer Ingelheim𝗟𝗶𝘀𝘁𝗲𝗻 𝗼𝗻 𝗔𝗽𝗽𝗹𝗲 𝗣𝗼𝗱𝗰𝗮𝘀𝘁𝘀, 𝗦𝗽𝗼𝘁𝗶𝗳𝘆 𝗼𝗿 𝗮𝗻𝘆 𝗺𝗮𝗷𝗼𝗿 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺.Website: The Swine Health Blackbelt PodcastInstagram: Swine CampusLinkedIn: Swine Campus

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