Computational Biology
Computational Biology
Modern scientific research has yielded massive amounts of data—but few good ways to understand the information. We are developing mathematical and analytical frameworks to uncover new connections in biological systems.
Nature Communications

Unleashing the power of AI to track animal behavior

Movement offers a window into how the brain operates and controls the body. Methods for tracking human and animal movement have come a long way, with current cutting-edge methods utilizing artificial intelligence to automatically track parts of the body as they move. However, training these models is still time-intensive and limited by the need for researchers to manually mark each body part hundreds to thousands of times. Associate Professor Eiman Azim, first author Daniel Butler, and colleagues have created GlowTrack, a noninvasive movement-tracking method that uses fluorescent dye markers to train artificial intelligence. GlowTrack is robust, time-efficient, and high-definition—capable of tracking a single digit on a mouse’s paw or hundreds of landmarks on a human hand.

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