How artificial intelligence can detect hidden diseases

What if technology could predict a hereditary disease you could stop from progressing? What if a visit to your primary physician for carpal tunnel syndrome ended with a suggestion to get tested for a rare illness? As Komodo Health's artificial intelligence algorithms crunch a decade of data about health conditions across several hundred million Americans, many what-if scenarios are becoming pathways for the next clinical assessment to be taken. Founded in 2014, Komodo, funded by Felicis Ventures and McKesson Ventures, has mapped out 300 million individual health identities across the country to find patterns signaling the presence of disease, years before they're ever diagnosed. At a time when chronic conditions account for 75 percent of the $3 trillion US healthcare spend annually, identifying when symptoms occur earliest or recognizing patterns of activity that are often a precursor to the manifestation of diseases is vital in preventing those economically, physically and mentally crippling illnesses to either exist or progress.