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The linked article is about a study that proposes a novel way to identify rare disease-causing genetic variants. The researchers developed a deep learning model to process genome sequence data and prioritize potentially pathogenic variants. The model was trained on a large dataset of known disease-causing and benign variants, and it showed improved performance compared to existing methods in detecting rare, disease-associated genetic mutations.