Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect splicing remains a major challenge. Although recent artificial intelligence (AI) models have improved splice-site prediction, many struggle to capture regulatory signals located thousands of DNA bases away from the sites they influence.

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