If the barrier to precision medicine is data handling, then artificial intelligence (AI) may be the logical solution.

If the barrier to precision medicine is data handling, then artificial intelligence (AI) may be the logical solution. Machine learning and deep learning are making inroads in a variety of industries, and seem poised to have a big impact in medicine, a process that is already in motion – and perhaps not a moment too soon. "Your chance in your lifetime of getting a false diagnosis, if you look at the data, is 100 percent," said Thomas Wilckens, founder and CEO at InnVentis to the audience at the recently-concluded Precision Medicine Leadership Summit in San Diego. "There's a lot to improve." Wilckens moderated Going Deep in the Fast Lane – the Rise of AI in Precision Medicine, which combined experts from industry and academia to parse this evolving segment.