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By aggregating data from hundreds of participating institutions worldwide, the platform could utilize machine learning algorithms to solve complex biological puzzles. For instance, breeding programs for endangered species often fail due to a lack of understanding regarding mate compatibility or environmental triggers for reproduction. With data from SmartOfZoo, algorithms could analyze the variables of successful births across the globe, identifying subtle correlations—such as humidity levels, dietary micronutrients, or social groupings—that human observers might miss.