Applying Big Data, Machine Learning, and AI to Improve Nutrition and Health
Applying Big Data, Machine Learning, and AI to Improve Nutrition and Health
Speakers:
Audrey Ruple, DVM, MS, PhD, DACVPM, MRCVS
Julia Labadie, DVM, MSPH, PhD
Daniel Promislow, DPhil (Zoology)
Q&A moderator:
Lisa Radosta, DVM, DACVB
Date: 30 April 2025
Location: St. Louis, Missouri, USA
The merging of big data, artificial intelligence, machine learning, and remarkable computing power is creating exciting opportunities to study aging and canine health over time.
The speakers in this session will share how the application of artificial intelligence and machine learning to extremely large, high-dimensional datasets (“big data”) from the Dog Aging Project and the Golden Retriever Lifetime Study are enabling researchers to uncover patterns that are not readily apparent through traditional statistical methods.
The combination of these technologies and the insights they unlock into the causes, processes, and diseases associated with aging will empower veterinary professionals to move from reactive to proactive care.
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