A new artificial intelligence tool can scan social media data to discover adverse events associated with consumer health products, according to a study published September 30^th in the open-access journal PLOS Digital Health by John Ayers of the University of California, San Diego, U.S., and colleagues.

MUSC Health was the first place in South Carolina to offer TMS to smokers. Research has shown that multiple sessions of rTMS, specifically over the left dorsolateral prefrontal cortex of the brain, can cut cravings and cigarette consumption. The new MUSC study gets even more targeted than that, using a form of AI called machine learning to analyze images from the brain’s neural networks to see if it’s possible to predict which smokers are likely to benefit from multiple sessions of rTMS, also known as repetitive TMS.