Human-beta-defensin-1, ferritin, and interleukin-6 in a mathematical model for predicting the effectiveness of anti-tuberculosis treatment
Fragment książki (Rozdział monografii pokonferencyjnej)
MNiSW
20
Poziom I
Status: | |
Autorzy: | Shevchenko Olga, Todoriko Liliia , Shevchenko Rostislav , Matvyeyeva Svitlana , Ovcharenko Iryna , Pohorielova Olha , Avrunin Oleg G., Nosova Yana V., Tomchuk Mykola , Stakhov Oleksii , Djakhanova Baktykul , Kumargazhanova Saule, Gromaszek Konrad |
Dyscypliny: | |
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Wersja dokumentu: | Drukowana | Elektroniczna |
Język: | angielski |
Strony: | 1 - 9 |
Scopus® Cytowania: | 0 |
Bazy: | Scopus |
Efekt badań statutowych | NIE |
Materiał konferencyjny: | TAK |
Nazwa konferencji: | Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2024 |
Skrócona nazwa konferencji: | SPIE-IEEE-PSP 2024 |
URL serii konferencji: | LINK |
Termin konferencji: | 27 czerwca 2024 do 29 czerwca 2024 |
Miasto konferencji: | Lublin |
Państwo konferencji: | POLSKA |
Publikacja OA: | NIE |
Abstrakty: | angielski |
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%. |