Zobrazeno 1 - 10
of 328
pro vyhledávání: '"Tim, Beissbarth"'
Autor:
Bo Eric Beuthner, Manar Elkenani, Katja Evert, Julian Mustroph, Christoph Friedemann Jacob, Niels Benjamin Paul, Tim Beißbarth, Elisabeth Maria Zeisberg, Moritz Schnelle, Miriam Puls, Gerd Hasenfuß, Karl Toischer
Publikováno v:
ESC Heart Failure, Vol 11, Iss 3, Pp 1636-1646 (2024)
Abstract Aims Studies have reported a strongly varying co‐prevalence of aortic stenosis (AS) and cardiac amyloidosis (CA). We sought to histologically determine the co‐prevalence of AS and CA in patients undergoing transcatheter aortic valve repl
Externí odkaz:
https://doaj.org/article/0736535e15b0414babc2ce23b88fa908
Autor:
Suganja Chandrabalan, Linh Dang, Uwe Hansen, Melanie Timmen, Corinna Wehmeyer, Richard Stange, Tim Beißbarth, Claudia Binder, Annalen Bleckmann, Kerstin Menck
Publikováno v:
Biological Procedures Online, Vol 26, Iss 1, Pp 1-17 (2024)
Abstract Background Osteoclasts are the tissue-specific macrophage population of the bone and unique in their bone-resorbing activity. Hence, they are fundamental for bone physiology in health and disease. However, efficient protocols for the isolati
Externí odkaz:
https://doaj.org/article/1c6c35f19f30456b964c2af20178a2ad
Autor:
Johannes Robert Fleischer, Alexandra Maria Schmitt, Gwendolyn Haas, Xingbo Xu, Elisabeth Maria Zeisberg, Hanibal Bohnenberger, Stefan Küffer, Laure-Anne Teuwen, Philipp Johannes Karras, Tim Beißbarth, Annalen Bleckmann, Mélanie Planque, Sarah-Maria Fendt, Peter Vermeulen, Michael Ghadimi, Joanna Kalucka, Tiago De Oliveira, Lena-Christin Conradi
Publikováno v:
Molecular Cancer, Vol 22, Iss 1, Pp 1-22 (2023)
Abstract Background Colorectal cancer liver metastases (CRCLM) are associated with a poor prognosis, reflected by a five-year survival rate of 14%. Anti-angiogenic therapy through anti-VEGF antibody administration is one of the limited therapies avai
Externí odkaz:
https://doaj.org/article/380114cc6bdc4ae19d7ea19ff089eb9c
Autor:
Fabian Bockhop, Marina Zeldovich, Katrin Cunitz, Dominique Van Praag, Marjolein van der Vlegel, Tim Beissbarth, York Hagmayer, Nicole von Steinbuechel, CENTER-TBI participants and investigators
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract Traumatic brain injury (TBI) is frequently associated with neuropsychiatric impairments such as symptoms of post-traumatic stress disorder (PTSD), which can be screened using self-report instruments such as the Post-Traumatic Stress Disorder
Externí odkaz:
https://doaj.org/article/80d4e5df2b864eeebaba993dee9c13b4
Autor:
Markus Bernhardt, Felix Rühlmann, Azadeh Azizian, Max Alexander Kölling, Tim Beißbarth, Marian Grade, Alexander Otto König, Michael Ghadimi, Jochen Gaedcke
Publikováno v:
Biomedicines, Vol 11, Iss 11, p 3025 (2023)
The oncological impact of portal vein resection (PVR) in pancreatic cancer surgery remains contradictory. Different variables might have an impact on the outcome. The aim of the present study is the retrospective assessment of the frequency of PVR, h
Externí odkaz:
https://doaj.org/article/bb3cbf1835154056833754baaa6071d7
Autor:
Chiara Giacomelli, Janine Jung, Astrid Wachter, Susanne Ibing, Rainer Will, Stefan Uhlmann, Heiko Mannsperger, Özgür Sahin, Yosef Yarden, Tim Beißbarth, Ulrike Korf, Cindy Körner, Stefan Wiemann
Publikováno v:
BMC Cancer, Vol 21, Iss 1, Pp 1-19 (2021)
Abstract Background Triple negative breast cancer (TNBC) is the most aggressive subtype of breast cancer (BC). Treatment options for TNBC patients are limited and further insights into disease aetiology are needed to develop better therapeutic approa
Externí odkaz:
https://doaj.org/article/ece14dc9183445a5b9d8d24f84fd4050
Autor:
Kerstin Menck, Saskia Heinrichs, Darius Wlochowitz, Maren Sitte, Helen Noeding, Andreas Janshoff, Hannes Treiber, Torben Ruhwedel, Bawarjan Schatlo, Christian von der Brelie, Stefan Wiemann, Tobias Pukrop, Tim Beißbarth, Claudia Binder, Annalen Bleckmann
Publikováno v:
Journal of Experimental & Clinical Cancer Research, Vol 40, Iss 1, Pp 1-18 (2021)
Abstract Background Breast cancer has been associated with activation of the WNT signaling pathway, although no driver mutations in WNT genes have been found yet. Instead, a high expression of the alternative WNT receptor ROR2 was observed, in partic
Externí odkaz:
https://doaj.org/article/d0a5a0c967764391a19be071ba9a9dca
Autor:
Kanix Wang, Robert Stevens, Halima Alachram, Yu Li, Larisa Soldatova, Ross King, Sophia Ananiadou, Annika M. Schoene, Maolin Li, Fenia Christopoulou, José Luis Ambite, Joel Matthew, Sahil Garg, Ulf Hermjakob, Daniel Marcu, Emily Sheng, Tim Beißbarth, Edgar Wingender, Aram Galstyan, Xin Gao, Brendan Chambers, Weidi Pan, Bohdan B. Khomtchouk, James A. Evans, Andrey Rzhetsky
Publikováno v:
npj Systems Biology and Applications, Vol 7, Iss 1, Pp 1-8 (2021)
Abstract Machine reading (MR) is essential for unlocking valuable knowledge contained in millions of existing biomedical documents. Over the last two decades1,2, the most dramatic advances in MR have followed in the wake of critical corpus developmen
Externí odkaz:
https://doaj.org/article/c6684fc31fe5420ca1a56c65a5bf6d29
Autor:
Leif Hendrik Dröge, Steffen Hennies, Stephan Lorenzen, Lena-Christin Conradi, Henriette Quack, Torsten Liersch, Christian Helms, Miriam Alice Frank, Markus Anton Schirmer, Margret Rave-Fränk, Tim Beißbarth, Hendrik Andreas Wolff
Publikováno v:
BMC Cancer, Vol 21, Iss 1, Pp 1-11 (2021)
Abstract Background The question whether lymphocyte radiosensitivity is representative of patients’ response to radiotherapy (RT) remains unsolved. We analyzed lymphocyte cytogenetic damage in patients who were homogeneously treated with preoperati
Externí odkaz:
https://doaj.org/article/79126b28e2d24d44a34e52770d667c1a
Autor:
Hryhorii Chereda, Annalen Bleckmann, Kerstin Menck, Júlia Perera-Bel, Philip Stegmaier, Florian Auer, Frank Kramer, Andreas Leha, Tim Beißbarth
Publikováno v:
Genome Medicine, Vol 13, Iss 1, Pp 1-16 (2021)
Abstract Background Contemporary deep learning approaches show cutting-edge performance in a variety of complex prediction tasks. Nonetheless, the application of deep learning in healthcare remains limited since deep learning methods are often consid
Externí odkaz:
https://doaj.org/article/f1afd85784f749c9a222fea3c981750d