Prediction of IgE-mediated allergic reactions to beta-lactam antibiotics using machine learning models
Scientific Reports, Published online: 10 November 2026; doi:10.1038/s41598-026-78994-1 Prediction of IgE-mediated allergic reactions to beta-lactam antibiotics using machine learning models
Scientists have employed new machine learning techniques to analyze the evolution of fish schooling across thousands of species. This study, published in the Proceedings of the National Academy of Sciences on November 6, is described as one of the most extensive examinations of any behavior in any group of species, according to the authors. The researchers found that fish species have gained the ability to move collectively some 60 times and lost it 320 times over the past 350 million years.
Andrew Hein, an associate professor of computational biology, explained that species gain a trait through genetic mutations that favor fitness and survival. Once established, this trait can be inherited by subsequent generations, while it can be lost if it becomes disadvantageous. Despite initial expectations that losses of collective behavior would be rare, the study revealed that hundreds of lineages experienced a shift from collective movement to solitary individuals.
The team used advanced machine learning methods, including text transformers and image analysis techniques, to classify species behaviors and behaviors from citizen science images. This allowed them to quantify the phenotypes of fish schooling behaviors for 2,839 species, representing nearly 10% of the total 39,000 living fish species.
The study supports two main hypotheses for the evolution of collective movement. Firstly, it suggests that schooling may provide predator avoidance through collective defense, as species low in the food chain with many predators are more likely to engage in collective behavior. Secondly, the researchers found that schooling may have evolved to help individuals locate scarce resources, as predators that move in groups typically consume prey that also move in groups.
Despite the benefits of collective movement, the researchers propose several potential drawbacks. Fish in groups may be more susceptible to misinformation, competition for limited resources, and disease risk, which could contribute to the loss of schooling behavior over time. These findings offer valuable insights into the complex dynamics of evolutionary behavior and the factors that drive the emergence and disappearance of collective movement in fish species.
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