Decades after researches first sequenced the human genome, scientists throughout the world are still working to understand it. Despite diligent global efforts to link uncommon variations in DNA sequences with human disease, progress has been slow, in large part due to limitations in scientific understanding and in part due to limitations in computational technologies.
Artificial intelligence has the potential to help scientists decipher the millions of genetic variations present in the genomes of different people in order to identify which ones lead to disease and which ones do not. In order to fully exploit the power of AI, however, scientists need to compare the genomes of thousands or tens of thousands of people. This task not only requires intense computational effort, it is also prone to error and will take years to complete.
