Using artificial intelligence to study atherosclerosis, predict risk and guide treatments in clinical practice
The AI-assisted analysis of CT imaging data can revolutionize CVD prevention; the integration of patient’s risk factor profile, quantitative metrics of coronary plaques and the coronary inflammatory burden using AI, allow accurate prediction of future cardiovascular events, and can guide prevention strategies.
Perivascular adipose tissue as a source of therapeutic targets and clinical biomarkers: A clinical consensus statement from the European Society of Cardiology Working Group on Coronary Pathophysiology and Micro-circulation
This clinical consensus statement from the European Society of Cardiology defines perivascular adipose tissue (PVAT) and highlights the biological mechanisms…
SARS-CoV-2 infection triggers pro-atherogenic inflammatory responses in human coronary vessels
Abstract: Patients with coronavirus disease 2019 (COVID-19) present increased risk for ischemic cardiovascular complications up to 1 year after infection. Although…