Pellikka HFpEF AI – Mayo Clinic Business Development
New AI algorithm may identify elusive heart failure risk
New AI algorithm may identify elusive heart failure risk
AbstractAge is among the most potent risk factors for developing heart failure and is strongly associated with adverse outcomes. As the global population continues to…
Whenever we pursue something in life, we do it hoping that it will give us significance. But the only way to really experience significance is…
AbstractPopulation aging is one of the most important demographic transformations of our time. Increasing the “health span”—the proportion of life spent in good health—is a…
AbstractBackgroundThe average age at onset of heart failure (HF) shows a progressive decrease in recent years; however, the association between age at onset of HF…
Current technologies for upregulation of endogenous genes use targeted artificial transcriptional activators but stable gene activation requires persistent expression of these synthetic factors. Although general…
AbstractBackground. A comparison of diagnostic performance comparing AI-QCTISCHEMIA, CT-FFR, and physician visual interpretation on the prediction of invas
Información sobre la presentación de comunicaciones libres para el Congreso SEC 2021
MD, FHRS Consultant Cardiac Electrophysiologist Chairman, London Ventricular Tachyarrhythmia Symposium
Glucagon-like peptide-1 receptor agonists (GLP-1RAs) and sodium-glucose cotransporter 2 inhibitors (SGLT2is), while developed as antihyperglycaemic me…
Dive into the forefront of cardiology research with our exclusive interview from the SCAI 24 Scientific Session!In this video we have Dr Mustafa Turkmani wit…