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Health research in the era of artificial intelligence: Advances in gene-editing study - EurekAlert

In recent years, the field of gene editing, epitomized by clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9), has undergone a groundbreaking revolution. Derived from CRISPR/Cas9 technologies, base editing techniques have showcased remarkable efficiency in achieving single base substitutions at precise genomic locations without inducing double-strand breaks (DSBs). These base editing systems have undergone rapid evolution, transitioning from proficient single-base editing to high-throughput screening and spanning from in vitro to in vivo applications. Notably, base editing screen methodologies have facilitated functional genomic inquiries at the granular single-nucleotide level, offering unprecedented insights into genetic mechanisms. Concurrently, the rapid strides in artificial intelligence (AI) have assumed a pivotal role in assisting genome editing endeavors and refining data analysis within base editing frameworks. This review delineates the recent strides in gene editing research, with a focal point on the advancement of base editing technologies, while also accentuating the potential synergies between AI and functional genomic explorations.

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