Researchers from the University of Zurich developed an artificial intelligence tool, Pythia, that predicts cellular DNA repair outcomes to improve precision genome editing. Combining deep learning with microhomology-based template design enables more accurate and predictable DNA integrations via CRISPR technologies. This approach was validated across multiple loci in human cells and in animal models, facilitating enhanced control of gene therapy interventions. The innovation represents a critical step toward safer, predictable gene editing modalities with wide biotechnology and therapeutic potential.