1. A computerized method for automated analysis of raw data representing a spectrum acquired from an individual patient, said method comprising: providing said raw data representing a spectrum acquired from an individual patient to a processor and, in said processor, applying at least one post-processing procedure to said raw data, thereby obtaining a processed spectrum of said individual patient; in said processor, generating a feature vector from numerical values of the processed spectrum of said individual patient; in said processor, automatically allocating said feature vector to one group of a plurality of groups in said knowledge base, where said knowledge bases comprises training feature vectors of tissues classified according to in vitro measurement results of said tissues, with each of training feature vector of each tissue is generated from a processed spectrum from a training patient comprising said tissue; and in said processor, based on said one group to which said feature vector is allocated, identifying a material from which said spectrum of said individual patient originates and emitting an electronic signal at an output of said processor indicating said material.