The potential of increasingly powerful artificial intelligence to analyze increasingly available genomic data is significant. A good example of where we’re currently at comes via a recent study published by the New York Genome Center (NYGC), The Rockefeller University and other NYGC member institutions, and IBM.
The study compared a number of techniques that are commonly used to analyze genomic data from tumor cells and healthy cells. The study utilized Watson for Genomics technology to help interpret the genome data. The paper reveals that Watson was able to provide actionable insights in just 10 minute, which compares to approximately 160 hours of human analysis.
Author: Adi Gaskell