Coronary artery disease (CAD) is one of the leading causes of morbidity and mortality worldwide, arising from the progressive narrowing of the coronary arteries due to atherosclerotic plaque formation. Coronary artery bypass graft (CABG) surgery is a well-established revascularization procedure that restores blood flow to the myocardium by bypassing occluded arterial segments. Despite its clinical efficacy, long-term graft patency remains a significant concern, as both early and late graft failure can compromise patient outcomes. Understanding the hemodynamic conditions that predispose grafts to occlusion or remodelling is therefore of considerable clinical importance, motivating the use of computational tools to investigate blood flow in pre- and post-operative CABG anatomies.