End to Illness: Machine Learning Is Revolutionizing How We Prevent Disease

Keeping Pace Ever since the first complete mapping of the human genome in 2003, biologists and other scientists have been hard at work making the process easier and faster. They’ve gotten so good at it, in fact, that they’ve now sequenced the genomes of more than a million people and believe that number could rise to nearly 2 billion by 2025. However, our ability to make sense of all this data remains lackluster. Machine learning could change that, though, as a new algorithm has been developed that can read large genome data sets for the goal of personalizing healthcare. Currently being used for this purpose is the STRUCTURE algorithm, which was first described in 2000. It looks at all the variants in each genome in a data set before updating its model to characterizing…


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