Artificial Intelligence approach helps to identify patients with heart failure that respond to beta-blocker treatment

Researchers at the University of Birmingham have developed a new way to identify patients with heart failure who will benefit from treatment with beta-blockers. Their study involved 15,669 patients with heart failure and reduced left ventricular ejection fraction (low function of the heart’s main pumping chamber), 12,823 of which were in normal heart rhythm and… Continue reading Artificial Intelligence approach helps to identify patients with heart failure that respond to beta-blocker treatment