Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Sergei Kit"'
Autor:
Nikolay S. Karnaukhov, D. V. Khodakova, A.Yu. Maksimov, M. V. Mindar, I. M. Akulshina, E.A. Lukbanova, A. V. Volkova, Vladimir Trifanov, Sergei Kit, Ekaterina V. Zaikina, T.P. Protasova, Anna S. Goncharova, S. Yu. Tkachev
Publikováno v:
Alʹmanah Kliničeskoj Mediciny, Vol 48, Iss 2, Pp 117-124 (2020)
Background: Orthotopic patient-derived xenografts (PDX) in immunodeficient mice are recognized as the most adequate neoplastic model due to their ability to maintain primary tumor properties after implantation. They can be used to study anti-neoplast
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc6e171c5ceebf3bcbb567863c56d295
https://www.almclinmed.ru/jour/article/view/1323
https://www.almclinmed.ru/jour/article/view/1323
Autor:
Oleg I. Kit, Mikhail A. Averkin, Sergey Yu. Tkachev, A. V. Volkova, Tatiana P. Protasova, Ekaterina V. Zaikina, Sergei Kit, Evgeniy N. Kolesnikov, E.A. Lukbanova, Denis S. Kutilin, M. V. Mindar, D. V. Khodakova, Natalya N. Timoshkina, Aleksey Yu. Maksimov, Anna S. Goncharova, Umar Muhmadovich Gaziev, Aleksandr E. Anisimov, Liubov Yu Vladimirova
Publikováno v:
Journal of Clinical Oncology. 38:e13649-e13649
e13649 Background: The survival of patients with esophageal squamous cell carcinoma depends not only on clinical signs (TNM, tumor site), but also on the molecular genetic subtype of the tumor. Identification of the molecular genetic subtype and the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f90a74db4b8ba26f531e85344972992a
https://doi.org/10.1200/jco.2020.38.15_suppl.e13649
https://doi.org/10.1200/jco.2020.38.15_suppl.e13649
Autor:
Sergey V. Sanamyants, Denis S. Kutilin, Natalya N. Timoshkina, A. V. Volkova, Aleksandr E. Anisimov, Sergey Yu. Tkachev, Liubov Yu Vladimirova, D. V. Khodakova, Ekaterina V. Zaikina, M. V. Mindar, Tatiana P. Protasova, E.A. Lukbanova, Aleksey Yu. Maksimov, Evgeniy N. Kolesnikov, Anna S. Goncharova, Sergei Kit, Mikhail A Kozhushko
Publikováno v:
Journal of Clinical Oncology. 38:e13648-e13648
e13648 Background: Patient-derived tumor xenograft (PDX) models are a valuable resource for studying cancer biology and antitumor drug evaluation. The suitability of tumor models in vivo depends on how accurately they mimic a human disease and reprod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7443383f54e38d012dad012a99d0bdc
https://doi.org/10.1200/jco.2020.38.15_suppl.e13648
https://doi.org/10.1200/jco.2020.38.15_suppl.e13648
Autor:
Liubov Yu Vladimirova, Aleksandr E. Anisimov, M. V. Mindar, Sergei Kit, Anna S. Goncharova, Aleksey Yu. Maksimov, Sergey Yu. Tkachev, E.A. Lukbanova, Evgeniy N. Kolesnikov, Roman E. Myagkov, Nikolay S. Karnaukhov, Tatiana P. Protasova, Ekaterina V. Zaikina, A. V. Volkova, D. V. Khodakova, Mikhail A Kozhushko
Publikováno v:
Journal of Clinical Oncology. 38:e15619-e15619
e15619 Background: Esophageal cancer is a common tumor of the mucous layer of the esophagus and the sixth most common cause of cancer deaths worldwide. Studying the mechanisms of its occurrence and development and the search for new approaches to its
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78324f9220978c859b2ed91ff9675c2f
https://doi.org/10.1200/jco.2020.38.15_suppl.e15619
https://doi.org/10.1200/jco.2020.38.15_suppl.e15619
Autor:
Sergey Yu. Tkachev, D. V. Khodakova, Roman E. Myagkov, A.Yu. Maksimov, E.A. Lukbanova, Sergei Kit, Ekaterina V. Zaikina, T.B. Katsieva, M. V. Mindar, Sergey V. Sanamyants, T.P. Protasova, Nikolay S. Karnaukhov, Evgeniy N. Kolesnikov, Anna S. Goncharova, A. V. Volkova
Publikováno v:
Современные проблемы науки и образования (Modern Problems of Science and Education). :3-3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bf29717de0e01bec190c8b5bc0482b2
https://doi.org/10.17513/spno.29573
https://doi.org/10.17513/spno.29573
Autor:
Anna Yankovskaya, Sergei Kitler
Publikováno v:
Computer Science Journal of Moldova, Vol 21, Iss 3(63), Pp 391-400 (2013)
The authors describe mental disorder diagnostic system based on logical-combinatorial methods of pattern recognition called as the intelligent system DIAPROD-LOG. The system is designed for diagnostics and prevention of depression. The mathematical a
Externí odkaz:
https://doaj.org/article/4031abd96df54524875e0aae69e34d16