Researchers have integrated artificial intelligence into genetic engineering to significantly enhance precision and efficiency. The University of Zurich team developed Pythia, an AI model predicting outcomes of DNA repair following CRISPR/Cas9 editing, enabling safer and more accurate genome modifications. Separately, KAIST unveiled BInD, an AI system that autonomously designs optimal drug candidates tailored to protein targets, expediting pharmaceutical development. These breakthroughs illustrate AI's expanding role in biotechnology, improving tools for gene therapies and targeted drug development with promising implications for treating complex diseases.