1. A method of computing physiological measurements resulting from a multi-scale system using a data-driven model, the method comprising: generating a database of physiological measurements associated with a multi-scale physiological system; using, by a computer, dimensionality reduction techniques on the database to identify a reduced set of components explaining the multi-scale physiological system; learning, by the computer, a data-driven model of the multi-scale physiological system from the database; receiving, by the computer, new input parameters; computing, by the computer, new physiological measurements from the new input parameters, using the data-driven model; computing, by the computer, new derived physiological indicators based on the reduced set of components; and displaying at least one of the new physiological measurements and the new derived physiological indicators.