👉 Serum math, also known as serum algebra or biochemistry, involves the quantitative analysis of substances (serum) in blood to understand various physiological and pathological conditions. It focuses on measuring concentrations of specific molecules, such as proteins, electrolytes, glucose, lipids, and drugs, to diagnose diseases, monitor treatment efficacy, and assess organ function. This mathematical approach often uses equations to interpret results from laboratory tests, converting raw data into meaningful clinical insights. For example, the concentration of glucose in serum is crucial for diagnosing diabetes, while electrolyte imbalances can indicate kidney or heart issues. Serum math combines principles from chemistry, biology, and mathematics to provide precise and actionable information for healthcare professionals.
