Teaching Computers to Recognize Sick Guts: Machine-Learning and the Microbiome

A new proof-of-concept study by researchers from the University of California San Diego succeeded in training computers to “learn” what a healthy versus an unhealthy gut microbiome looks like based on its genetic makeup. Since this can be done by genetically sequencing fecal samples, the research suggests there is great promise for new diagnostic tools that are, unlike blood draws, non-invasive.