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| Issue | Title | |
| No 1 (2015) | Mathematical modeling of macrophage reprogramming during inflammation and immunity processes: obstacles and opportunities | Abstract similar documents |
| V. N. Sakharov, P. F. Litvitsky | ||
| "... of the modeling of gene expression modulatory mechanisms and macrophage reprogramming. ..." | ||
| No 4 (2014) | Opportunities for management of macrophage phenotype reprogramming | Abstract similar documents |
| V. N. Sakharov, P. F. Litvitsky | ||
| "... This article reviews the recent literature on opportunities for reprogramming of macrophage ..." | ||
| No 3 (2017) | REPROGRAMMING OF SPLENIC MONONUCLEAR PHAGOCYTE PHENOTYPE DURING MODELING OF SYSTEMIC JUVENILE IDIOPATHIC ARTHRITISIN WISTAR RATS | Abstract similar documents |
| "... (M2, CD163+) macrophages and other mononuclear phagocytes after arthritis development in a model ..." | ||
| Vol 15, No 3 (2024) | Neuroglia markers expression in the cingulate and retrosplenial cortex of mice after nonseptic dose of lipopolysaccharide | Abstract similar documents |
| A. A. Venediktov, K. S. Pokidova, D. M. Oganesyan, V. V. Goloborshcheva, G. A. Piavchenko, S. L. Kuznetsov | ||
| "... as number macrophages with the expression of the Iba1 protein. ..." | ||
| Vol 14, No 4 (2023) | Morphofunctional features in mice treated by low and high Hsp70 doses | Abstract similar documents |
| G. A. Piavchenko, A. A. Venediktov, E. A. Kuzmin, S. L. Kuznetsov | ||
| "... ,6 ± 47,0 macrophages for control, low-dose and high-dose groups, respectively (р < 0,0001). Tukey test ..." | ||
| Vol 15, No 1 (2024) | Serum markers of neuroinflammation and oxidative stress in modeling spinal injury of various genesis | Abstract similar documents |
| D. I. Pozdnyakov, V. V. Kozlova, V. F. Reps | ||
| "... -RS) and superoxide dismutase activity were assessed in the blood serum. Results. When modeling SCI ..." | ||
| Vol 15, No 1 (2024) | Patellar motion and dysfunction of its stabilizers in a biomechanical model of the knee joint | Abstract PDF (Eng) similar documents |
| A. S. Yurova, A. I. Tyagunova, F. B. Loginov, Yu. V. Vassilevski, A. V. Lychagin, E. B. Kalinsky, E. V. Larina, N. V. Gorohova, K. A. Devyatyarov, O. N. Bogdanov, I. B. Kovalenko, K. V. Chesnokova, M. A. Dergachev, E. Yu. Mychka, O. N. Kosukhin | ||
| "... was developed using an open source software system for biomechanical modeling OpenSim. Patellofemoral joint ..." | ||
| No 2 (2017) | Simulation modeling: an illustrative method to estimate drug clinical and economic effectiveness (retrospective meta-analysis of anti-asthmatic therapy in children in a hospital setting) | Abstract similar documents |
| O. V. Zhukova | ||
| "... mathematical and statistical modeling methods, such as beta distribution, gamma distribution, Monte-Carlo ..." | ||
| Vol 14, No 1 (2023) | Segmentation of renal structures based on contrast computed tomography scans using a convolutional neural network | Abstract similar documents |
| I. М. Chernenkiy, M. M. Chernenkiy, D. N. Fiev, E. S. Sirota | ||
| No 2 (2017) | 3D-modelling in amniotic fluid evaluation | Abstract similar documents |
| V. A. Mudrov, A. K. Lyapunov, A. A. Mudrov, Y. K. Novikova | ||
| "... of amniotic fluid by the Chamberlain’s and Phelan’s methods exceeds 10%. On the basis of 3D-modeling ..." | ||
| Vol 10, No 2 (2019) | Preventive citicoline administration is more effective than therapeutic in model of transient cerebral ischemia in rats | Abstract similar documents |
| G. Z. Sufianova, A. A. Sufianov, A. G. Shapkin, M. S. Khlеstkina, A. M. Mashkin, R. A. Sufianov | ||
| "... and at 1, 3 and 5 days after modeling of cerebral ischemia. When comparing groups, the nonparametric ..." | ||
| Vol 15, No 2 (2024) | Morphological characteristics of the cerebral cortex of a mini-pig under conditions of gene therapy after experimental stroke | Abstract similar documents |
| Z. Z. Safiullov, A. Izmailov, V. A. Markosyan, A. E. Khomyakov, N. V. Boychuk, M. V. Nigmetzyanova, A. R. Siraeva, S. S. Targachev, V. V. Valiullin, R. R. Islamov, V. I. Pospelov | ||
| "... and submandibular lymph nodes. Conclusion. 21 days after modeling a stroke in mini-pigs against the background ..." | ||
| Vol 15, No 4 (2024): Special Issue: Neurosurgery | Machine learning algorithm to predict in-hospital mortality after aneurysmal subarachnoid hemorrhage | Abstract similar documents |
| Juri V. Kivelev, Alexey L. Krivoshapkin, Albert A. Sufianov | ||
| "... perceptron and long short-term memory network (LSTM) were tested. Data preprocessing and modeling were ..." | ||
| 1 - 13 of 13 Items | ||
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