Deploying AI to super charge CRISPR applications in medicine and agriculture

Credit: SciTechDaily.com
Credit: SciTechDaily.com

The integration of artificial intelligence (AI) in the biotech industry seems boundless. Its combination with CRISPR could be the one area where AI has the most potential.

Precision in gene editing is paramount, and AI significantly contributes by predicting and minimizing off-target effects. … Conversely, CRISPR technology provides a dynamic platform for training and refining AI models. The precise and programmable nature of CRISPR-induced genetic changes offers a controlled environment for AI to learn and predict biological outcomes.

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[B]y 2025, AI and machine learning will significantly amplify the impact of CRISPR genome editing in medicine, agriculture, and climate change. CRISPR is an amazing tool, and the most evident application of it is in the development of therapies. However, the future of CRISPR is broader – genome editing also has a big part to play in climate change, another challenge mankind faces. Editing plants and crops could make agriculture more resistant to the climate changes we are facing.

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