E-LIB Suche - Ergebnisse für: Howsmon, Daniel P

1

Statistical process monitoring creates a hemodynamic trajec..:

Howsmon, Daniel P. ; Mikulski, Matthew F. ; Kabra, Nikhil...
Bioengineering & Translational Medicine. , 2024

Link: https://doi.org/10.1002/..

2

Three-dimensional analysis of hydrogel-imbedded aortic valv..:

Khang, Alex ; Nguyen, Quan ; Feng, Xinzeng..
Acta Biomaterialia. 163 (2023) - p. 194-209 , 2023

Link: https://doi.org/10.1016/..

3

Mathematical Modeling of Complement Pathway Dynamics for Ta..:

Bansal, Loveleena ; Nichols, Eva-Maria ; Howsmon, Daniel P....
Frontiers in Pharmacology. 13 (2022) - p. , 2022

Link: https://doi.org/10.3389/..

4

On Valve Interstitial Cell Signaling: The Link Between Mult..:

Howsmon, Daniel P. ; Sacks, Michael S.
Cardiovascular Engineering and Technology. 12 (2021) 1 - p. 15-27 , 2021

Link: https://doi.org/10.1007/..

5

Biology and Biomechanics of the Heart Valve Extracellular M..:

Kodigepalli, Karthik M. ; Thatcher, Kaitlyn ; West, Toni...
Journal of Cardiovascular Development and Disease. 7 (2020) 4 - p. 57 , 2020

Link: https://doi.org/10.3390/..

6

On the role of predicted in vivo mitral valve interstitial ..:

Ayoub, Salma ; Howsmon, Daniel P. ; Lee, Chung-Hao.
Biomechanics and Modeling in Mechanobiology. 20 (2020) 1 - p. 135-144 , 2020

Link: https://doi.org/10.1007/..

7

Multi-scale Modeling of the Heart Valve Interstitial Cell:

, In: Multi-scale Extracellular Matrix Mechanics and Mechanobiology; Studies in Mechanobiology, Tissue Engineering and Biomaterials,

Khang, Alex ; Howsmon, Daniel P. ; Lejeune, Emma. - p. 21-53 , 2019

Link: https://doi.org/10.1007/..

8

Differences in fecal microbial metabolites and microbiota o..:

Kang, Dae-Wook ; Ilhan, Zehra Esra ; Isern, Nancy G....
Anaerobe. 49 (2018) - p. 121-131 , 2018

Link: https://doi.org/10.1016/..

9

Real-Time Detection of Infusion Site Failures in a Closed-L..:

Howsmon, Daniel P. ; Baysal, Nihat ; Buckingham, Bruce A....
Journal of Diabetes Science and Technology. 12 (2018) 3 - p. 599-607 , 2018

Link: https://doi.org/10.1177/..

10

Erythrocyte fatty acid profiles in children are not predict..:

Howsmon, Daniel P. ; Adams, James B. ; Kruger, Uwe...
Biomarker Research. 6 (2018) 1 - p. , 2018

Link: https://doi.org/10.1186/..

11

Multivariate techniques enable a biochemical classification..:

Howsmon, Daniel P. ; Vargason, Troy ; Rubin, Robert A....
Bioengineering & Translational Medicine. 3 (2018) 2 - p. 156-165 , 2018

Link: https://doi.org/10.1002/..

12

Kinesin-2 heterodimerization alters entry into a processive..:

Quinn, Sean M. ; Howsmon, Daniel P. ; Hahn, Juergen.
Journal of Biological Chemistry. 293 (2018) 35 - p. 13389-13400 , 2018

Link: https://doi.org/10.1074/..

13

Mathematical modeling of the methionine cycle and transsulf..:

Vargason, Troy ; Howsmon, Daniel P. ; Melnyk, Stepan..
Journal of Theoretical Biology. 416 (2017) - p. 28-37 , 2017

Link: https://doi.org/10.1016/..

14

Empirical modeling of T cell activation predicts interplay ..:

Steinmeyer, Shelby ; Howsmon, Daniel P. ; Alaniz, Robert C...
Biotechnology and Bioengineering. 114 (2017) 11 - p. 2660-2667 , 2017

Link: https://doi.org/10.1002/..

15

Classification and adaptive behavior prediction of children..:

Howsmon, Daniel P. ; Kruger, Uwe ; Melnyk, Stepan...
PLOS Computational Biology. 13 (2017) 3 - p. e1005385 , 2017

Link: https://doi.org/10.1371/..