A medical apparatus for diagnosing a diseased condition of tissue of a subject, including: an impedance signal unit being coupled to a probe comprising a plurality of electrodes adapted to obtain impedance data of a target tissue region at different tissue layers, wherein the probe has five electrodes (9a - 9e), where each electrode (9a - 9e) comprises at least one spike or micro-needle, each spike or micro-needle having a sufficient length to penetrate at least one layer of the skin of a subject and wherein said impedance data comprises a plurality of impedance values measured in the target tissue region, at different tissue layers, the impedance signal unit being further adapted to obtain impedance data of a reference tissue region being in close proximity to the target tissue region, wherein the impedance signal unit is further adapted to obtain the impedance data of the target tissue region and the impedance data of the reference tissue region at different tissue layers substantially concurrently or immediately consecutively, wherein said impedance signal unit is adapted to select electrode pairs comprising adjacent electrodes (9a - 9e) to scan impedance values at a topmost tissue layer and electrode pairs comprising electrodes separated by one or more intermediate electrodes (9a - 9e) to scan impedance values at deeper tissue layers substantially concurrently or immediately consecutively at both the target tissue region and the reference tissue region, wherein the impedance signal unit is further adapted to obtain impedance data of the target tissue region and/or the reference tissue region at different tissue layers, wherein at least an upper portion of the tissue is scanned so as to obtain a series of impedance values from small consecutive tissue partitions; wherein electrical impedance of the target tissue region and/or the reference tissue region is measured at a plurality of logarithmically distributed frequencies ranging from about 1 kHz to about 2.5 MHz; a classifying unit adapted to apply at least one set of data pre-processing rules to the impedance data of the target tissue region and to the reference tissue region so as to obtain a classified data set for the target tissue region and a classified data set for the reference tissue region; and a diagnosing unit adapted to perform a trained evaluation system algorithm for diagnosis of said diseased condition in the target tissue region on the basis of the classified data set for the target tissue region. an impedance signal unit being coupled to a probe comprising a plurality of electrodes adapted to obtain impedance data of a target tissue region at different tissue layers, wherein the probe has five electrodes (9a - 9e), where each electrode (9a - 9e) comprises at least one spike or micro-needle, each spike or micro-needle having a sufficient length to penetrate at least one layer of the skin of a subject and wherein said impedance data comprises a plurality of impedance values measured in the target tissue region, at different tissue layers, the impedance signal unit being further adapted to obtain impedance data of a reference tissue region being in close proximity to the target tissue region, wherein the impedance signal unit is further adapted to obtain the impedance data of the target tissue region and the impedance data of the reference tissue region at different tissue layers substantially concurrently or immediately consecutively, wherein said impedance signal unit is adapted to select electrode pairs comprising adjacent electrodes (9a - 9e) to scan impedance values at a topmost tissue layer and electrode pairs comprising electrodes separated by one or more intermediate electrodes (9a - 9e) to scan impedance values at deeper tissue layers substantially concurrently or immediately consecutively at both the target tissue region and the reference tissue region, wherein the impedance signal unit is further adapted to obtain impedance data of the target tissue region and/or the reference tissue region at different tissue layers, wherein at least an upper portion of the tissue is scanned so as to obtain a series of impedance values from small consecutive tissue partitions; wherein electrical impedance of the target tissue region and/or the reference tissue region is measured at a plurality of logarithmically distributed frequencies ranging from about 1 kHz to about 2.5 MHz; a classifying unit adapted to apply at least one set of data pre-processing rules to the impedance data of the target tissue region and to the reference tissue region so as to obtain a classified data set for the target tissue region and a classified data set for the reference tissue region; and a diagnosing unit adapted to perform a trained evaluation system algorithm for diagnosis of said diseased condition in the target tissue region on the basis of the classified data set for the target tissue region.