Abstract: Using whole blood viscosity (WBV) data collected at various shear rates in conjunction with other clinically relevant information—such as age, gender, and other medical history information—one can generate information indicative of a current or physiological condition of a subject. Such generation can be accomplished using machine learning, such as a trained algorithm. One can also train an algorithm using WBV and other clinically relevant information. The described approaches allow for early detection and treatment of conditions, such as sepsis, as well as the evaluation of a treatment or treatments administered to a patient in need.