“In 2025, we will see AI and machine learning begin to amplify the impact of Crispr genome editing in medicine, agriculture, climate change, and the basic research that underpins these fields.”
Why this is important: The article highlights how AI and machine learning are beginning to amplify the potential of CRISPR genome editing across fields like medicine, agriculture, climate change, and research. While AI is often surrounded by hype, it is already making tangible contributions to genomics, enabling scientists to handle vast datasets and accelerate discoveries.
In genomics, AI tools are identifying small gene-editing proteins and functional RNA molecules with improved properties, such as heat tolerance, which could enhance therapies and biomanufacturing processes. For health and drug development, AI is helping refine CRISPR's precision, targeting efficiency, and reducing side effects, expediting therapies for genetic diseases like sickle cell anemia and potentially others. In agriculture, AI-optimized CRISPR advancements are leading to resilient and productive crops, enhancing food security. In climate, the combination could unlock solutions for carbon capture and sustainability.
Though still in the early stages, the integration of AI and CRISPR holds transformative potential and is already driving significant progress. --- Shane P. Riley