Katharina Buczek
Around the globe, cancer ranks as the leading cause of death of pet dogs. But, a groundbreaking study is tapping into the newest breakthroughs in artificial intelligence (AI) to create a novel method for early cancer detection in canines.
This innovative strategy aims to halt the progression of diffuse large B-cell lymphoma (DLBCL), which is the most prevalent and lethal type of cancer in dogs.
Scientists at the University of Minnesota are exploring a new strategy known as “test and intervene,” employing AI to examine DNA fragments in blood samples. This technique could lead to the identification of dogs at increased risk for DLBCL.
Based on the study’s outcomes, the researchers aim to offer pet owners and veterinarians intervention plans designed to reduce the risk in dogs found to be more susceptible.
The Morris Animal Foundation and the Golden Retriever Foundation have provided financial support for this project.
“Morris Animal Foundation is proud to continue our partnership with the Golden Retriever Foundation and extend the impact of the Golden Retriever Lifetime Study with this important research on canine lymphoma,” said Kathy Tietje, Morris Animal Foundation’s Chief Program Officer.
“When given the opportunity to provide significant funding for this study, the Golden Retriever Foundation was excited to be a part of LyRA as well as a continued partnership with Morris Animal Foundation,” agreed Christine Miele, the President of the Golden Retriever Foundation.
“Lymphoma sadly affects about one in eight dogs and results in both expense and loss of companionship. We are looking forward to the day of early detection and the application of prevention and treatment.”
Researchers plan to create the test by conducting a detailed evaluation of a wide range of dogs and analyzing samples from the Morris Animal Foundation’s Golden Retriever Lifetime Study. This will help them spot DNA patterns in the blood that appear before cancer starts to develop.
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