Abstract: A method and a system for managing a process of pathology examination may include an image-analysis module, configured to receive at least one digital scan of at least one pathology slide related to a pathology case, and perform at least one algorithm of image analysis thereon to extract at least one clinical feature of the at least one slide; a human-machine interface, adapted to present the at least one digital scan on a screen; a machine-learning based module, adapted to classify the at least one pathology slide to a classification of a set of classifications based on at least one clinical feature, the set of classifications selected from a list consisting a low risk classification and a high risk classification; and a report module, adapted to produce, in real time, at least one report data element comprising diagnostic information, based on the classification of the at least one pathology slide.

Abstract: A system for determination of a current consumer operational state operates on two sets of data respective of the current consumer. The first set of data is historical data of current consumption measured periodically. A training module of the system determines a plurality of distinct operational states of the current consumer based on the historical data. The training includes the selection of a model and then determines state parameters based on the model. Once sufficient training takes place, the system uses its classification module to classify, based on the extracted state parameters, a newly received current measurement or measurements, to a distinct operational mode of the current consumer from the plurality of distinct operational states. The training phase may be repeated periodically adding newer data to historical data, and furthermore, dropping older data as newer data is made available, and updates the states and the associated parameters.