Zobrazeno 1 - 10
of 4 117
pro vyhledávání: '"A. Mahnken"'
Changes in Alzheimer's disease blood biomarkers in kidney failure before and after kidney transplant
Autor:
Anneka E. Blankenship, Lauren Yoksh, Paul J. Kueck, Jonathan D. Mahnken, Jill K. Morris, Aditi Gupta
Publikováno v:
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol 16, Iss 3, Pp n/a-n/a (2024)
Abstract INTRODUCTION Alzheimer's disease (AD) blood biomarkers show promise for clinical diagnosis but their reliability in chronic kidney disease (CKD) is debated. This study investigates the impact of kidney transplant (KT) on AD biomarkers in CKD
Externí odkaz:
https://doaj.org/article/a27029f5b56649e3af0c097496f8d54a
Autor:
Kemna, Riley E., Kueck, Paul J., Blankenship, Anneka E., John, Casey S., Johnson, Chelsea N., Green, Zachary D., Chamberlain, Tyler, Thyfault, John P., Mahnken, Jonathan D., Miller, Benjamin F., Morris, Jill K.
Publikováno v:
In Contemporary Clinical Trials November 2024 146
Autor:
Szabo-Reed, Amanda N., Watts, Amber, Vidoni, Eric D., Mahnken, Jonathan, Van Sciver, Angela, Finley, Katrina, Clutton, Jonathan, Holden, Rachel, Key, Mickeal N., Burns, Jeffery M.
Publikováno v:
In Contemporary Clinical Trials December 2024 147
Autor:
Mahnken, Rolf, Simeu, Arnold Tchomgue
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 December 2024 432 Part B
Publikováno v:
Computer Methods in Applied Mechanics and Engineering, 2021, 385. Jg., S. 114070
This work is directed to uncertainty quantification of homogenized effective properties for composite materials with complex, three dimensional microstructure. The uncertainties arise in the material parameters of the single constituents as well as i
Externí odkaz:
http://arxiv.org/abs/2110.13440
Publikováno v:
Computer Methods in Applied Mechanics and Engineering, Volume 393, 1 April 2022, 114790
Recently, physics informed neural networks have successfully been applied to a broad variety of problems in applied mathematics and engineering. The principle idea is to use a neural network as a global ansatz function to partial differential equatio
Externí odkaz:
http://arxiv.org/abs/2110.07374
Autor:
Scheschenja, Michael, Bastian, Moritz B., Wessendorf, Joel, Owczarek, Andreas D., König, Alexander M., Viniol, Simon, Mahnken, Andreas H.
Publikováno v:
In Current Problems in Diagnostic Radiology July-August 2024 53(4):488-493
Autor:
Gupta, Aditi, Mahnken, Jonathan D., Bernal, Joshua, Sharma, Palash, Lepping, Rebecca J., Montgomery, Robert N., Johnson, David K., Parks, Adam, Burns, Jeffrey M., Drew, David A., Sarnak, Mark J., Brooks, William M.
Publikováno v:
In American Journal of Kidney Diseases July 2024 84(1):28-37
Publikováno v:
In European Journal of Radiology June 2024 175
Autor:
Joel Wessendorf, Michael Scheschenja, Moritz B. Bastian, Alexander M. König, Axel Pagenstecher, Frederik Helmprobst, Malte Buchholz, Marina Tatura, Jarmila Jedelská, Andreas H. Mahnken
Publikováno v:
European Radiology Experimental, Vol 7, Iss 1, Pp 1-8 (2023)
Abstract Background We evaluated the feasibility of a chick chorioallantoic membrane (CAM) tumor model for preclinical research on tumor radiofrequency ablation (RFA). Methods Fertilized chicken eggs were incubated and divided into five cohorts: RFA
Externí odkaz:
https://doaj.org/article/f4db89f287f44be18b4e01a37b79a08c