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Mon. Mar 16, 2026

Tue. Mar 17, 2026

Wed. Mar 18, 2026

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Detection of behavioral changes in disease models using digital approaches

Many pharmacological and toxicological tests using animals still rely on visual observation and manual recording by experimenters, resulting in limited data acquisition. Such methods pose challenges in terms of objectivity, reproducibility, and extrapolation to humans, and obtaining quantitative data requires substantial time and effort. We aim to establish Behaviomics, an approach that captures experimental animal behavior as multivariate quantitative data. To this end, we have developed SHIGUSA, an AI-based behavioral analysis system that automatically records and visualizes mouse behavior over long periods, and we are applying it in our research. In this symposium, we will introduce examples of how this system is utilized in academia and industry, and discuss its future potential and current challenges.

The 99th Annual Meeting of the Japanese Pharmacological Society

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[1-S-49]Detection of behavioral changes in disease models using digital approaches

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