In the aftermath of a heart attack, medicine has long treated survivors as a single population facing a common fate — but a team at the University of Surrey has found that the body, in its struggle to recover, follows one of three distinct biological roads. By applying machine learning to the health records of more than twelve thousand UK patients, researchers can now predict, almost at the moment of the cardiac event itself, which road a survivor is likely to travel. The discovery matters not because it sorts people into categories, but because it reveals that different biological forces are
AI Tool Identifies Three Distinct Recovery Paths for Heart Attack Survivors
Heart attack survivors face significant mortality risk, with smoking-related complications showing 44% mortality rates within five years post-event.