Keeping track of side effects after a medicine or vaccine hits the market is a massive challenge. Researchers need ways to sift through huge amounts of data to find small, hidden signals that could mean a product is unsafe for people. This is where the TreeScan method comes in.
A review of 44 different studies shows how this tool is being used. It uses specific mathematical models, like Bernoulli and Poisson models, to spot these safety signals. Most of the research focused on practical applications, with many studies specifically looking at vaccine safety and drug monitoring.
While TreeScan is still an emerging tool, it is showing promise in handling complex data structures better than some older methods. Because this was a scoping review of existing literature rather than a new clinical trial, we are seeing how the tool is currently being used by researchers to improve safety surveillance.