Tooth Aging
AI-assisted analysis to help researchers estimate wildlife age from tooth samples.
Turning tooth images into useful age data.
Annual growth layers in tooth cementum can help estimate an animal’s age. Researchers use these age estimates to understand wildlife populations and inform conservation decisions.
One Health Medical Technologies leads AI model development in a collaboration with Lethbridge Polytechnic’s Wildlife Analytics Lab and the Wyoming Game and Fish Department’s Wildlife Forensics and Fish Health Lab.
The initial focus is mule deer. The team is digitizing archived samples and developing machine-learning models to support image-based age estimation, with the aim of improving the efficiency and consistency of tooth aging.
This is an applied research collaboration. Contact our team to learn about the project or discuss research opportunities.
Read Lethbridge Polytechnic’s project announcement ↗Interested in the tooth-aging project?
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