Analysis reveals machine learning classifiers improve prediction in rats with chronic liver disease, suggesting better experimental design.
Use of ML classifiers for disease prediction offers a promising alternative to traditional animal experimentation. Integrating ML into preclinical disease investigations can improve experimental repeatability, reduce variability, and optimize study designs.
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Nadeem et al. (2025) studied this question.
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