Originally posted November 16, 2018
Here is an excerpt:
Another thing experts are working to resolve in the process of gene editing is how to prevent off-target effects—when the tools mistakenly work on the wrong gene because it looks similar to the target gene.
Artificial intelligence and machine learning help make gene editing initiatives more accurate, cheaper and easier.
The future for AI and gene technology is expected to include pharmacogenomics, genetic screening tools for newborns, enhancements to agriculture and more. While we can't predict the future, one thing is for sure: AI and machine learning will accelerate our understanding of our own genetic makeup and those of other living organisms.
The info is here.