Embodiments of the present invention encompass automated systems and methods for predicting a tuberculosis infection in an individual based on a biological sample obtained from blood of the individual. Exemplary techniques involve correlating aspects of direct current (DC) impedance, radio frequency (RF) conductivity, and/or light measurement data obtained from the biological sample with a prediction of My cobacterium tuberculosis infection in the individual.
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