ABSTRACT
Genome editing, or genetic modification, is a form of genetic engineering that replicates, extracts, modifies, or replaces DNA in living cells. Once investigators can sequence and interpret DNA, artificial intelligence systems do so quicker, cheaper, and more reliably, and gain insight into the necessary genetic code that organizes all organisms’ behaviors. With all this information, the researcher will make informed choices about what in future an organism may be vulnerable to, what kind of alterations would source numerous diseases, and how a plan could be implemented in the future to tackle them. Given that individual conditions acquired during life are primarily determined by unique genetics, a greater understanding of the human genetic makeup over the years has been of interest – the complexity and value of the activities that were to be assessed impeded our progress. Thanks to the enhancements in machine learning and artificial intelligence, scientists can perform enhanced evaluations and genomic data interpretations by decoding and modifying DNA. The vision of artificial intelligence and genetic engineering is anticipated to incorporate precision medicine, pharmacogenomics, newborn genetic inspection instruments, agricultural improvements, and so on. While the future remains unforeseen, we are convinced that machine learning and artificial intelligence will speed up our comprehension of the genetic composition of humans and other living organisms.
