Researchers have integrated artificial intelligence with CRISPR technology to enhance precision in genome editing. A Nature Biotechnology publication details a deep learning-assisted design of microhomology-based DNA repair templates that predict and improve the accuracy of DNA integration. This advancement promises more reliable genome editing outcomes in human cells and animal models. Parallel studies highlight AI-driven predictive tools for CRISPR repair outcomes, setting the stage for safer and more efficient gene therapies.