Data analysis to improve the welfare of laboratory animals
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- Success stories
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- Data analysis to improve...
Human inspection of laboratory animals can cause stress and inaccurate measurements, potentially affecting research results. A quantitative system for animal health status and activity was developed using sensors for real-time tracking.
Start date: 01/11/2015
Duration in months: 18
Problem Description
Human inspection of research animals can cause stress and inaccurate measurements. A quantitative system for analyzing animal health status and activity would provide accurate information, address issues, and support ongoing research by ensuring the animals are properly cared for.
Goals
New services
Challenges
The necessary information to properly monitor animal health status potentially requires thousands of sensors, generating a large amount of real-time data.
Innovation results
A measurement system for lab animals using sensors for real-time tracking was built. Moxoff developed an HPC-based HPDA platform for automatic event detection, data exploration, and analysis.
Business impact
Moxoff and Tecniplast are partnering to offer a product that will increase market share and customer base. The platform will be extended to IoT markets, focusing on automatic identification, user behavior profiling, and predictive maintenance. CINECA will be able to target SMEs in the HPDA market.