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Synergizing Genome Editing and Artificial Intelligence for Predictive Crop Design.
PubMed · 2026-04-16
Scientists are combining AI and gene editing tools to design better crops more precisely — moving from trial-and-error breeding toward predicting which genetic changes will produce desired traits before making them.
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AI can improve the accuracy of gene editing by better predicting guide RNA design and reducing unintended off-target DNA changes.
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Gene editing in turn generates high-resolution experimental datasets that feed back into AI models, creating an iterative improvement cycle.
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The combined approach is being applied to complex traits including climate resilience, stress tolerance, nutritional enhancement, and de novo domestication of wild plants into new crops.