Usage of Artificial Intelligence tools to Enhance Standards in Preclinical Rodent Research

This system is designed to detect subtle behavioral changes in mice, improving the quality of preclinical studies in detecting genetic, pharmacological or therapeutic effects. It will be simple and versatile, suitable for use in studies of neurological disease models in mice. By analyzing experimental data more effectively, the approach aims to reduce the number of animals needed in experiments. This aligns with the principles of the 3Rs (Replacement, Reduction, and Refinement), promoting better animal welfare on which I am focusing on in my PhD project.