AI technology to predict deadly heart attacks

Scientists at the University of Oxford used AI to develop a new biomarker, or'fingerprint' called fat radiomic profile (FRP). The technology could identify people at high risk of a fatal heart attack at least five years before it strikes by detecting biological red flags in the perivascular space lining blood vessels which supply blood to the heart, Tech Explorist reports. Currently, there are no methods routinely by specialists that can spot the majority of the fundamental warnings for a future heart attack. For this study, scientists primarily used fat biopsies from 167 people undergoing cardiac surgery. They then analyzed the expression of genes related with inflammation, scarring, and new blood vessel formation, and matched these to the CCTA scan images to figure out which highlights best demonstrate changes to the fat encompassing the heart vessels, called perivascular fat.