Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Klara Zacharovova"'
Autor:
Zuzana Berkova, Klara Zacharovova, Alzbeta Patikova, Ivan Leontovyc, Zuzana Hladikova, David Cerveny, Eva Tihlarikova, Vilem Nedela, Peter Girman, Daniel Jirak, Frantisek Saudek
Publikováno v:
Journal of Functional Biomaterials, Vol 13, Iss 4, p 171 (2022)
Infusing pancreatic islets into the portal vein currently represents the preferred approach for islet transplantation, despite considerable loss of islet mass almost immediately after implantation. Therefore, approaches that obviate direct intravascu
Externí odkaz:
https://doaj.org/article/1cd6fd0acba2463a8d716d2805da0931
Autor:
Zuzana Berkova, Frantisek Saudek, Peter Girman, Klara Zacharovova, Jan Kriz, Eva Fabryova, Ivan Leontovyc, Tomas Koblas, Lucie Kosinova, Tomas Neskudla, Ema Vavrova, David Habart, Sarka Loukotova, Martina Zahradnicka, Kvetoslav Lipar, Ludek Voska, Jelena Skibova
Publikováno v:
Journal of Diabetes Research, Vol 2016 (2016)
Variability of pancreatic donors may significantly impact the success of islet isolation. The aim of this study was to evaluate donor factors associated with isolation failure and to investigate whether immunohistology could contribute to organ selec
Externí odkaz:
https://doaj.org/article/a8a9785c23554c80bfd8aefe04b6a3aa
Autor:
David Habart, Adam Koza, Ivan Leontovyc, Lucie Kosinova, Zuzana Berkova, Jan Kriz, Klara Zacharovova, Bas Brinkhof, Dirk-Jan Cornelissen, Nicholas Magrane, Katerina Bittenglova, Martin Capek, Jan Valecka, Alena Habartova, František Saudek
Publikováno v:
Islets. 15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ee8afbbf9162d529777ffccae890222
https://doi.org/10.1080/19382014.2023.2189873
https://doi.org/10.1080/19382014.2023.2189873
Autor:
František Saudek, Monika Cahová, Terezie Havrdová, Klára Zacharovová, Helena Daňková, Luděk Voska, Věra Lánská, Nurcan Üçeyler, Claudia Sommer
Publikováno v:
Journal of Diabetes Research, Vol 2018 (2018)
Diabetic peripheral neuropathy (DPN) is a common complication of diabetes with potential severe consequences. Its pathogenesis involves hyperglycemia-linked mechanisms, which may include changes in the expression of neurotrophic growth factors. We an
Externí odkaz:
https://doaj.org/article/d7737eea0f7f41b09404903f36496b7f
Autor:
David Habart M.D., Ph.D., Jan Švihlík, Jan Schier, Monika Cahová, Peter Girman, Klára Zacharovová, Zuzana Berkov, Jan Kříž, Eva Fabryová, Lucie Kosinová, Zuzana Papáčková, Jan Kybic, František Saudek
Publikováno v:
Cell Transplantation, Vol 25 (2016)
Clinical islet transplantation programs rely on the capacities of individual centers to quantify isolated islets. Current computer-assisted methods require input from human operators. Here we describe two machine learning algorithms for islet quantif
Externí odkaz:
https://doaj.org/article/f7467eeb55a44458a40029fa315381f6