AI Tool ONCO-ACS for Cancer Heart Attack

An international team of researchers, primarily led by the University of Zurich and the University of Leicester, has developed ONCO-ACS, the first AI-based risk prediction model specifically for cancer patients who have had a heart attack. Published in The Lancet, the study analyzed over one million heart attack patients across England, Sweden, and Switzerland, including more than 47,000 with cancer. The findings highlight the poor prognosis for cancer patients post-heart attack, with nearly one in three dying within six months. ONCO-ACS combines cancer-related factors with standard clinical data to predict the chances of death, major bleeding, or another cardiac event within six months, aiming to provide reliable information for tailored treatment and personalized medicine. The researchers hope for its integration into clinical practice to guide catheter-based treatment and antiplatelet therapy decisions, and to inform future clinical trials. The study was funded by Cancer Research UK, the British Heart Foundation, and supported by Health Data Research UK.