When researchers can sequence and analyze DNA, something that artificial intelligence systems make faster, cheaper and more accurate, they gain perspective on the particular genetic blueprint that orchestrates all activities of that organism. With advances in artificial intelligence and machine learning applications, researchers are better able to interpret and act on genomic data through genome sequencing and gene editing.
A genome sequence is a specific order of DNA building blocks (A, T, C, G) in a living organism; the human genome is made up of 20,000 genes and more than 3 billion base pairs of these genetic letters. Historically, cost and technology limited the implementation of personalized medicine, but machine learning techniques are helping to overcome these barriers. UNICEF USA BRANDVOICE Google’s tool DeepVariant uses the latest AI techniques to turn high-throughput sequencing (HTS) into a more accurate picture of a full genome. Some companies are working on technologies that support editing of genes by making changes to the DNA at the cellular level.
Artificial intelligence and machine learning help make gene editing initiatives more accurate, cheaper and easier. 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.
Read more here
