CRISPR genome-editing tools, including Cas nucleases, base editors and prime editors, have revolutionized genome manipulation with a vast array of designable guide RNAs and combinations. In this Review, we discuss high-throughput evaluations and machine learning-based predictions of editing efficiencies and off-target effects, alongside recent advances in genome-editing tools and artificial intelligence-driven development.
- Hui Kwon Kim
- Hyongbum Henry Kim
