Physics-based modeling and data-driven algorithm for prediction and diagnosis of atherosclerosis

Abstract

Atherosclerosis, a pattern of the disease arteriosclerosis in which the inner wall of the artery develops deposition of plaques, abnormalities, and lesions. Early screening of this type of vascular anomalies is pivotal to prevent patient’s vascular risk. However, current diagnostic routines based on standard risk factors (e.g., hypertension, diabetes, and dyslipidemia) scoring are not satisfactory. Furthermore, non-invasive imaging routines have substantial restraints such as cost, instrument proficiency as well as renal toxicity, and radiation hazard.