Abstract: A system, method for determining blood biomarkers implemented by a processor and memory circuitry (PMC) and a program storage device and computer program product which includes providing near infra-red spectrogram data i of a patient's living tissue; using one or more pre-trained prediction models comprising a selected number of prediction routes, and determining prediction data on a selected group of biomarkers; determining one or more biomarkers associated with a number of groups, and determining an average concentration data of said biomarkers in accordance with output data of a number of prediction routes associated with said number of groups; and generating output data indicative of estimated levels of a selected set of biomarkers for said patient.

Abstract: A system, method and corresponding software product are presented, the method comprising: providing a training data set comprising one or more spectrogram data pieces obtained from a plurality of individuals and respective data on a selected set of blood biomarkers of said individuals; selecting one or more groups of biomarkers selected from said selected set of biomarkers, wherein each group includes two or more (three or more) biomarkers; training one or more prediction models based on said training data, said one or more prediction model comprising one or more prediction routes for prediction of said one or more groups of biomarkers respectively. Accordingly, the prediction model comprises a selected number of prediction routes, each trained for predicting biomarkers concentrations of a respective groups of biomarkers.