1. A method for predicting information relating to a coronary lesion, the method comprising: acquiring, for each of a plurality of individuals, a geometric model, blood flow characteristics, and plaque information for at least part of the individual's vascular system; identifying, for each of a plurality of points in the geometric models, features predictive of the presence of plaque within the geometric models and blood flow characteristics of the plurality of individuals; training a machine learning algorithm based on the geometric models and blood flow characteristics for each of the plurality of individuals, and the predictive features; acquiring, for a patient, a geometric model and blood flow characteristics for at least part of the patient's vascular system; and executing the machine learning algorithm on the patient's geometric model and blood flow characteristics to determine, based on the predictive features, plaque information of the patient for at least one point in the patient's geometric model.