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For many years, the medical community has used experimental and clinical observation methods to study the course of various diseases. This approach has a high degree of validity, but it also has some limitations, such as high costs and difficulty in controlling all influencing factors and individual variability. In this regard, there is a need to create new methods for studying and predicting the course of diseases. One of these tools is a mathematical model. This study considers the possibility of mathematical modeling of the effectiveness of anti-tuberculosis treatment, based on the levels of biochemical markers of tuberculosis, namely Human-beta-defensin-1 (HBD-1), ferritin and interleukin-6 (IL-6). Based on a study of the relationships between the effectiveness of anti-tuberculosis treatment and the levels of Humanbeta-defensin-1, ferritin and interleukin-6, a mathematical model was created that allows predicting the effectiveness of anti-tuberculosis treatment based on determining biochemical markers at the beginning of treatment and after 60 days of anti-tuberculosis therapy with sensitivity and specificity of at least 88%.
