1. A computer assisted method of identifying a proposed intervention for a disease, comprising the computer assisted steps of: storing a database of biological data relating changes in biological systems to changes in disease progression of the disease, the biological data including: data relating intercellular, intracellular, and organic changes in a biological system to changes in disease progression for a standard intervention; patient attributes of a plurality of patient types; intervention attributes of a plurality of interventions; biology attributes of cellular changes or cellular attributes associated with each intervention; and disease progression measures for a disease; receiving user inputs of biologic parameters of a biological system; constructing a query from the user inputs; querying a data source with the query to determine values of disease progression measures associated with the biologic parameters, the disease progression measures selectively including: cellular behavior parameters; intermediate biological disease progression measures; and clinically observable disease progression measures; displaying the values of the disease progression measures; and systematically querying of the data source with user input changes in the biologic parameters associated with standard interventions to identify the proposed intervention that produces disease progression measures indicative of an effective alteration of the disease.