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Assessment of gait in mice using simplified analysis tools
Raghda Fouda1, Donovan Argueta1, Kendall O'Daniel1
1Department of Medicine, Division of Hematology/Oncology, University of California, Irvine, CA, United States.
Research Square
|May 19, 2023
Summary
Researchers developed an AI-assisted method for mouse gait analysis, simplifying pain and motor function assessment in conditions like hemophilia. This non-invasive technique offers objective outcomes for disease progression and therapy effectiveness.
Area of Science:
- Biomedical Engineering
- Neuroscience
- Pain Research
Background:
- Gait analysis is crucial for assessing various clinical conditions, including chemotherapy-induced alterations, degenerative diseases, and hemophilia.
- Gait alterations can stem from physical, neural, or motor changes, and pain, offering objective measures for disease progression and treatment efficacy.
- While clinical gait analysis is established, mouse gait analysis presents challenges due to complex data acquisition and analysis.
Conclusions:
- AI-assisted gait analysis offers a non-invasive, non-evoked method for evaluating pain and motor function in mice.
- This technique simplifies complex data analysis, making mouse gait studies more accessible.
- The validated method can be applied to various research areas, including pain assessment and therapeutic efficacy studies.
