AIMC Topic: Porcine respiratory and reproductive syndrome virus

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Machine learning models provide modest accuracy in predicting clinical impact of porcine reproductive and respiratory syndrome type 2 in Canadian sow herds.

American journal of veterinary research Jan 9, 2025
OBJECTIVE: To determine the predictive potential of the open reading frame 5 nucleotide sequence of porcine reproductive and respiratory syndrome (PRRS) virus and the basic demographic data on the severity of the impact on selected production paramet...
Machine Learning Retrospective Studies Female Animals Disease Outbreaks Swine Ontario Longitudinal Studies Porcine Reproductive and Respiratory Syndrome Porcine respiratory and reproductive syndrome virus
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Multi-Omics Analysis by Machine Learning Identified Lysophosphatidic Acid as a Biomarker and Therapeutic Target for Porcine Reproductive and Respiratory Syndrome.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jul 8, 2024
As a significant infectious disease in livestock, porcine reproductive and respiratory syndrome (PRRS) imposes substantial economic losses on the swine industry. Identification of diagnostic markers and therapeutic targets has been a focal challenge ...
Machine Learning Biomarkers Animals Swine Multiomics Lysophospholipids Metabolomics Porcine Reproductive and Respiratory Syndrome Porcine respiratory and reproductive syndrome virus
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Predicting Antigenic Distance from Genetic Data for PRRSV-Type 1: Applications of Machine Learning.

Microbiology spectrum Dec 13, 2022
The control of porcine reproductive and respiratory syndrome (PRRS) remains a significant challenge due to the genetic and antigenic variability of the causative virus (PRRSV). Predominantly, PRRSV management includes using vaccines and live virus in...
Machine Learning Animals Swine Phylogeny Genetic Variation Cross Reactions Porcine Reproductive and Respiratory Syndrome Porcine respiratory and reproductive syndrome virus Antigenic Variation Cross Protection
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Machine-learning algorithms to identify key biosecurity practices and factors associated with breeding herds reporting PRRS outbreak.

Preventive veterinary medicine Aug 20, 2019
Investments in biosecurity practices are made by producers to reduce the likelihood of introducing pathogens such as porcine reproductive and respiratory syndrome virus (PRRSv). The assessment of biosecurity practices in breeding herds is usually don...
Machine Learning Algorithms Risk Factors Animals Disease Outbreaks Swine Animal Husbandry Case-Control Studies United States Breeding Porcine Reproductive and Respiratory Syndrome Porcine respiratory and reproductive syndrome virus
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