Quantitative measurement of human physiological age by profiling of body fluids and pattern recognition

Quantitative correlations with human age are demonstrated for 60 substances from a group of 200 substances measured in the urine of 235 men. Simplified pattern recognition calculations are used to combine these correlations into patterns of human age and to demonstrate their utility for the quantitative measurement of human physiological age and aging rate. The empirical use of these techniques for the extension of human life-span and diminution of human suffering from degenerative diseases is discussed. Current experimental limitations of this method are demonstrated and evaluated. The application of these techniques can form the basis for a significant advance in the quality of human life.