Statin drugs are widely used in the treatment of hypercholesterolemia. Although statins are effective and safe in most patients, many users experience poor or no efficacy and adverse drug reactions. Major factors contributing to this variability in drug response include differences in individual characteristics such as genetics, sex, age, weight, renal function, and concomitant medications. The IndiviStat project aims to develop a systems pharmacology algorithm considering these factors to predict statin response in individual patients, and to investigate whether selecting the statin based on the algorithm improves treatment adherence. The algorithm will integrate data from laboratory, biobank and clinical studies. In the final stage of the project, the ability of the algorithm to improve adherence will be investigated in patients. If successful, the IndiviStat project may significantly increase patient adherence to statin therapy and improve the overall efficacy and safety of cholesterol-lowering therapy, thus preventing cardiovascular morbidity and mortality.