Cancer patients who suffer a heart attack face a deadly problem: they are at high risk for both bleeding and blood clots, but doctors lacked a standard tool to balance these conflicting risks. The solution is ONCO-ACS, an AI-powered prediction model that combines cancer factors with clinical data. The benefit is life-saving, personalized care that helps doctors tailor medications to prevent secondary attacks and bleeding in this vulnerable group.
