Deep Genomics applies artificial intelligence to personalized medicine - AI Trends

Lux Research recently attended the EmTech Digital Conference in San Francisco. At the event, Deep Genomics CEO Brendan Frey described how the company wants to use a form of artificial intelligence (AI) called neural networks to connect genotype to phenotype – in other words, to see how the genetic code of an individual determines the traits (hair color, disease, persona) the individual presents. To illustrate the gap, he surveyed the audience by show of hands, how many believed that understanding genomics would change our lives (some 80%); how many had actually had a genetic test done (perhaps 25%), and how many of those had found the results to be valuable (about 5%). "That's the gap," he explained, since so many conditions lack genetic correlation, and so many genetic traits are not actually expressed. The goal of Deep Genomics is to complement genomic data with other biologically-relevant data, including personal history, behavior, environment, and nutrition; and use machine learning to connect genes with traits.