The reproducibility crisis and translational failures in preclinical research highlight the urgent need for more accurate, scalable, and unbiased methods of monitoring animal behavior. This session introduces participants to Animal Research 2.0 with an AI-powered home cage monitoring system addressing historical limitations by enabling continuous, noninvasive tracking of rodent behavior in their natural living environment. Michael Florea scopes out next-level achievements in pattern recognition and data accuracy through 24/7 monitoring, advanced computer vision, and machine learning algorithms. He provides deployment models and requirements, and demonstrates results: reduction in labor costs, improved animal welfare, and rich high-resolution behavioral datasets that improve experimental reproducibility and unlock the discovery of novel digital biomarkers.
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Tuesday, Oct 21st 8:05AM - 9:00AM
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