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The field of genetic engineering has witnessed a paradigm shift with the advent of Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) technology. CRISPR empowers researchers with the remarkable ability to precisely modify genomes, offering immense potential for treating genetic diseases. However, achieving high levels of accuracy and specificity in gene editing remains a critical challenge. This paper explores the burgeoning field of AI-controlled guide RNA (gRNA) design, a revolutionary approach that harnesses the power of artificial intelligence (AI) to optimize gRNA selection and enhance CRISPR genome editing outcomes. By integrating AI algorithms for gRNA design, researchers aim to revolutionize personalized medicine and targeted therapies through a more precise and efficient approach to identifying and replacing detrimental genetic mutations.

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Leveraging a Smart AI-Controlled gRNA in Genome Editing for Identification and Replacement of Genetic Mutations

  • 会议论文

  • 发表日期：

    2025年

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  • Debanksh Guha,
  • Divya Avtaran,
  • Rahul Lenka,
  • Tiansheng Yang,
  • Lu Wang,
  • Rajkumar Singh Rathore

摘要

The field of genetic engineering has witnessed a paradigm shift with the advent of Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) technology. CRISPR empowers researchers with the remarkable ability to precisely modify genomes, offering immense potential for treating genetic diseases. However, achieving high levels of accuracy and specificity in gene editing remains a critical challenge. This paper explores the burgeoning field of AI-controlled guide RNA (gRNA) design, a revolutionary approach that harnesses the power of artificial intelligence (AI) to optimize gRNA selection and enhance CRISPR genome editing outcomes. By integrating AI algorithms for gRNA design, researchers aim to revolutionize personalized medicine and targeted therapies through a more precise and efficient approach to identifying and replacing detrimental genetic mutations.