This paper discusses how digital animal models improve reduction and replacement in biomedical research, suggesting they may lessen the use of live animals.
The development of digital animal models represents a promising avenue for advancing the ethical principles of reduction and replacement in biomedical research. This paper discusses the potential of models built upon artificial intelligence (AI)-generated synthetic datasets simulating the characteristics and behaviors of model organisms, reducing reliance on live animals in research.
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Germani et al. (2025) studied this question.
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