
Combining AI and Crispr Will Be Transformational
WiredIn 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. A group at the Innovative Genomics Institute, the research institute that I founded 10 years ago at UC Berkeley, recently joined forces with members of the Department of Electrical Engineering and Computer Sciences and Center for Computational Biology, and developed a way to use a large language model, akin to what many of the popular chatbots use, to predict new functional RNA molecules that have greater heat tolerance compared to natural sequences. AI can help accelerate the process of development by predicting the best editing targets, maximizing Crispr's precision and efficiency, and reducing off-target effects. It's still early days, but the potential to appropriately harness the joint power of AI and Crispr, arguably the two most profound technologies of our time, is clear and exciting—and it’s already started.
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