Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ľudmila Verbóová"'
Autor:
Andrea Leskanicova, Olga Chovancova, Marian Babincak, Ludmila Verboova, Zuzana Benetinova, Denisa Macekova, Jozef Kostolny, Benadik Smajda, Terezia Kiskova
Publikováno v:
Molecules, Vol 25, Iss 10, p 2353 (2020)
The prevalence of some chronic diseases, such as cancer or neurodegenerative disorders, differs between sexes. Animal models provide an important tool to adopt potential therapies from preclinical studies to humans. Laboratory rats are the most popul
Externí odkaz:
https://doaj.org/article/e790a76c8fe3492d97561f3a5fb682c6
Autor:
Tomáš Toporcer, Tomáš Grendel, Ivana Špaková, Alžbeta Blichárová, Ľudmila Verbóová, Zuzana Benetinová, Beata Čižmárová, Miroslava Rabajdová, Silvia Toporcerová
Publikováno v:
Journal of Cardiovascular Development and Disease, Vol 11, Iss 11, p 352 (2024)
Background: Ischemic-reperfusion damage of cardiomyocytes due to myocardial infarction (MI) often leads to the death of an individual. Premenopausal women have been observed to have a significantly lower risk of cardiovascular disease (CVD) than men
Externí odkaz:
https://doaj.org/article/5e172d6055b44ea9af40ef5d2c3014ae
Autor:
Alžbeta Blichárová, Vladimír Tancoš, Zuzana Benetinová, Ľudmila Verbóová, Marián Grendár, Alena Mazuráková, Lukáš Plank, Eva Mechírová
Publikováno v:
Pathology, research and practice. 242
The mechanisms underlying the expression of programmed death ligand-1 (PD-L1) in non-small cell lung carcinoma (NSCLC) are not yet fully clarified. In this study, surgical resections of 730 lung cancer patients with diagnosed NSCLC were analyzed. Res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::060de3af2f4f2cd18b4863fa54c0b79b
https://pubmed.ncbi.nlm.nih.gov/36610327
https://pubmed.ncbi.nlm.nih.gov/36610327
Autor:
Alžbeta Blichárová, Ľudmila Verbóová, Zuzana Benetinová, Tibor Mátyás, Richard Bašista, Vladimír Tancoš, Patrícia Kollárová
Publikováno v:
Journal of Forensic and Legal Medicine. 96:102512
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a511763a29beb2e2285c110bb9c65fa
https://doi.org/10.1016/j.jflm.2023.102512
https://doi.org/10.1016/j.jflm.2023.102512
Autor:
Anna Jašková, Patrik Sabol, Erika Štammová, Pavel Kočan, Zuzana Benetinova, Pitoyo Hartono, Ľudmila Verbóová, Peter Sincak, Antónia Sabolová-Fabianová, Alžbeta Blichárová
Publikováno v:
Journal of biomedical informatics. 109
Pathologists are responsible for cancer type diagnoses from histopathological cancer tissues. However, it is known that microscopic examination is tedious and time-consuming. In recent years, a long list of machine learning approaches to image classi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2698ffc91cfbdc38fa7f88bc3aa9390
https://pubmed.ncbi.nlm.nih.gov/32758538
https://pubmed.ncbi.nlm.nih.gov/32758538