Research project · Science

Tooth Aging

AI-assisted analysis to help researchers estimate wildlife age from tooth samples.

Wildlife analytics

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.

AI

Machine-learning models for image-based age estimation

3

Partner organizations in the collaboration

Mule deer

Initial species focus

The approach

Faster, more consistent tooth aging.

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 announcement