Gene editing has made huge leaps in recent years, such as treating the congenital blood disorders sickle cell anemia and beta thalassemia, which can require lifelong blood transfusions. But scientists still fear that some snipping may lead to unwelcome surprises.

However, a research team led by the University of Zurich says that artificial intelligence could help.

A new study published in the journal Nature details how the researchers combined AI and the gene editing technique CRISPR-Cas for more precise editing, which may lead to better gene therapies for patients and fewer side effects.

They did this by developing a new AI tool called Pythia, named after the ancient oracle at the Temple of Apollo, which can predict how cells will repair a portion of DNA post-gene editing.

"DNA repair

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