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Abstract

A method of characterizing a biological sample comprising separating the biological sample into constituents; observing the separated constituents; applying statistical classification modeling to the observed constituents; deriving quantifiable data from the applied statistical classification modeling; and analyzing the data from the applied statistical classification modeling to assess a donor of the biological compounds' health. A system for characterizing a biological sample comprising a biological sample separator, wherein the biological sample separator functions to separate the biological sample into constituents; a constituent observer, wherein the constituent observer functions to confirm and qualify the presence of the constituent; a constituent statistical processor, wherein the constituent statistical processor functions to apply statistical classification modeling to the observed constituent to derive representative data; and a statistical analyzer, wherein the statistical analyzer functions to compare the representative data to benchmark values to derive a predictor for a health concern. Also disclosed is a method comprising identifying a disease of interest; identifying one or more organisms having the disease of interest; obtaining one or more biological samples from the organisms having the disease of interest; identifying one or more characteristics of the biological samples; providing quantifiable data that represents the characteristics of the biological sample; and employing a statistical classification method that utilizes the quantifiable data to identify one or more discriminant directions wherein the discriminant directions relate the characteristics of the biological sample to the disease of interest.

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First Claim