1.Голубева М. Г. Осмотическая резистентность эритроцитов, методы определения и коррекции, значение при различных патологиях //Успехи современной биологии. –2019. –Т. 139. –No. 5. –С. 446-456.2.Позднякова Е. Ю., Микляев С. В. Сахарный диабет как один из этиологических факторов развития пародонтита //Наука в ХХI веке: Инновационный потенциал развития. –2022. –С. 186-194. 3.Nair B., Nair A. Modelling and simulation of blood flow in microfluidic devices using resolved CFD-DEM/submitted by Achuth Nair Balachandran Nair, M. Sc. –2021.4.Balachandran Nair A. N. et al. A reduced-order model for deformable particles with application in bio-microfluidics //Computational Particle Mechanics. –2020. –Т. 7. –С. 593-601. 5.Blumers A. L. et al. Multiscale parareal algorithm for long-time mesoscopicsimulations of microvascular blood flow in zebrafish //Computational Mechanics. –2021. –Т. 68. –No. 5. –С. 1131-1152. 6.Miranda E. et al. Role of the left coronary artery geometry configuration in atherosusceptibility: CFD simulations considering sPTT model for blood //Computer Methods in Biomechanics and Biomedical Engineering. –2021. –Т. 24. –No. 13. –С. 1488-1503.7.Thondapu V. et al. Non-Newtonian Endothelial Shear Stress Simulation: Does It Matter? //Frontiers in Cardiovascular Medicine. –2022. –Т. 9. 8. Mendieta J. B. et al. The importance of blood rheology in patient-specific computational fluid dynamics simulation of stenotic carotid arteries //Biomechanics and Modeling in Mechanobiology. –2020. –Т. 19. –С. 1477-1490