Patent Document ID: 20030162301
Application ID: 10297187
Patent Flag: 0

Claim One:
1. A method of training a classification system for characterising a biological sample with respect to at least one condition, comprising a) obtaining a biological sample from an animal, including a human, wherein said biological sample is selected from body fluids and/or tissue, wherein the tissue sample is not associated with said condition(s), b) obtaining characterisation information related to each biological sample, c) exposing the sample to excitation light within a predetermined range of wavelength, d) determining physical parameter(s) of light emitted from the sample, e) repeating step a) to d) until the physical parameters of all training samples have been determined, f) optionally performing a data handling of the obtained physical parameters obtaining data variables, g) optionally performing a multivariate data analysis of the data variables and optionally of characterisation information obtaining model parameters describing the variation of the data variables, h) classifying the biological samples into at least two different classes correlated to the characterisation information, obtaining a trained classification system.