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Artificial Intelligence Key to Unlocking Full Potential of Genomics

The Chief Scientific Officer with Prairie Diagnostic Services suggests the use of artificial indigence is key to making full use of the vast amounts of information being made available through genomics. The use of genomic sequencing to decipher the genetic coding of living organisms is helping revolutionize disease diagnostics, prevention and treatment and genetic selection. Dr. Anatoliy Trokhymchuk, the Chief Scientific Officer with Prairie Diagnostic Services, says generating data is easy however interpreting this data is key.

Quote-Dr. Anatoliy Trokhymchuk-Prairie Diagnostic Services:

We have to admit, we as humans are not really well equipped to handle this really complex data. We like to live in our three-dimensional space and yes, we have a concept of time but the dimensionality of genomics data are really mind boggling.
We can talk about hundreds of different dimensions. This is where sophisticated machine learning and sophisticated computer algorithms can really help. There are already big advances with machine learning and artificial intelligence-based drug design exercises, vaccine design exercises and it’s coming our way. Machine learning and artificial intelligence is not back magic. It’s just a general-purpose technology but it’s a very important one. It’s going to be a very consequential one.

There is one quote that I really like, that artificial intelligence for this civilization will have more impact than fire and electricity. That’s true because we are already living in a news driven economy. Whoever has that information, whoever can make better decisions will be better off. If we harness the power of artificial intelligence to interpret this genetic data for us and tell us how to keep infectious diseases out, what animals to select, how do we build better operations, how do we access better markets, that would be a really key objective.

Dr. Trokhymchuk says it’s an exciting time to be in this kind of business and this kind of research.

Source : Swine Web

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Screening Nursery Ingredients - Kynna Crawford

Video: Screening Nursery Ingredients - Kynna Crawford


In this episode of The Swine Nutrition Blackbelt Podcast, Kynna Crawford, Graduate Research Assistant at South Dakota State University, discusses how Plackett-Burman designs can help screen nursery diet ingredients for early post-weaning feed intake. She explains why low intake after weaning contributes to stress and mortality, how screening trials can evaluate multiple ingredients in a single study, and how the approach can support both research and commercial nursery nutrition decisions. Listen now on all major platforms!

Click here to read the full research article: https://academic.oup.com/jas/article/...

"A single screening trial can help identify which nursery ingredients deserve deeper research for early post-weaning feed intake."

Meet the guest: Kynna Crawford / kynna-crawford-a2610a3aa is a Master's student in Animal Sciences at South Dakota State University, where her work focuses on swine nutrition and nursery pig management. Her research examines strategies to alleviate weaning stress, including dietary approaches and screening tools to identify ingredients that may promote early feed intake. Learn more from Kynna Crawford on The Swine Nutrition Blackbelt Podcast, available on all major platforms.