1. A computer-based system for predicting future health of individuals comprising: (a) a computer comprising a processor containing a database of longitudinally-acquired biomarker values from individual members of a test population, subpopulation D of said members being identified as having acquired a specified biological condition within a specified time period or age interval and a subpopulation D being identified as not having acquired the specified biological condition within the specified time period or age interval; and (b) a computer program that includes steps for: (1) selecting from said biomarkers a subset of biomarkers for discriminating between members belonging to the subpopulations D and D, wherein the subset of biomarkers is selected based on distributions of the biomarker values of the individual members of the test population; and (2) using the distributions of the selected biomarkers to develop a statistical procedure that is capable of being used for: (i) classifying members of the test population as belonging within a subpopulation PD having a prescribed high probability of acquiring the specified biological condition within the specified time period or age interval or as belonging within a subpopulation PD having a prescribed low probability of acquiring the specified biological condition within the specified time period or age interval; or (ii) estimating quantitatively, for a member of the test population, the probability of acquiring the specified biological condition within the specified time period or age internal; wherein changes in said longitudinally-acquired biomarker values are used to develop said statistical procedure.