Traditionally, cardiologists have focused on the same 5 cardiovascular risk factors. Preventive cardiology currently uses these factors to determine risk and then prescribes the same therapies to all those at risk. Can we use advances in technology and computation to more deeply characterize our patients, identifying the maximally effective individual therapies to prevent coronary artery disease?