Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Brian E. Carlson"'
Autor:
Dewan M. Sarwar, Reza Kalbasi, John H. Gennari, Brian E. Carlson, Maxwell L. Neal, Bernard de Bono, Koray Atalag, Peter J. Hunter, David P. Nickerson
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-10 (2019)
Abstract Background Mathematics and Phy sics-based simulation models have the potential to help interpret and encapsulate biological phenomena in a computable and reproducible form. Similarly, comprehensive descriptions of such models help to ensure
Externí odkaz:
https://doaj.org/article/88988399891345fb876823d486557f18
Autor:
Feng Gu, E. Benjamin Randall, Steven Whitesall, Kimber Converso-Baran, Brian E. Carlson, Gregory D. Fink, Daniel E. Michele, Daniel A. Beard
Publikováno v:
JCI Insight, Vol 5, Iss 19 (2020)
The spontaneously hypertensive rat (SHR) is a genetic model of primary hypertension with an etiology that includes sympathetic overdrive. To elucidate the neurogenic mechanisms underlying the pathophysiology of this model, we analyzed the dynamic bar
Externí odkaz:
https://doaj.org/article/673ba72f27fc41bc8d642cb0753088f3
Publikováno v:
F1000Research, Vol 2 (2013)
The asserted dominant role of the kidneys in the chronic regulation of blood pressure and in the etiology of hypertension has been debated since the 1970s. At the center of the theory is the observation that the acute relationships between arterial p
Externí odkaz:
https://doaj.org/article/c6be3a4432d94adf827041f796e6f04f
Autor:
Edith Jones, E. B. Randall, Kiley S. Hassavoort, David M. Cameron, Scott L. Hummel, Daniel A. Beard, Brian E. Carlson
Publikováno v:
The FASEB Journal. 36
Autor:
Brian E. Carlson, Edith Jones, Daniel A. Beard, Scott L. Hummel, E. Benjamin Randall, David M. Cameron
Publikováno v:
J Physiol
To phenotype mechanistic differences between heart failure with reduced (HFrEF) and preserved (HFpEF) ejection fraction, a closed-loop model of the cardiovascular system coupled with patient-specific transthoracic echocardiography (TTE) and right hea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53f3378554557d2280e8a64338200116
https://europepmc.org/articles/PMC8595692/
https://europepmc.org/articles/PMC8595692/
Publikováno v:
Journal of molecular and cellular cardiology. 163
Blood flows and pressures throughout the human cardiovascular system are regulated in response to various dynamic perturbations, such as changes to peripheral demands in exercise, rapid changes in posture, or loss of blood from hemorrhage, via the co
Autor:
Brian E. Carlson, Steven E. Whitesall, Feng Gu, Daniel E. Michele, E. Benjamin Randall, Daniel A. Beard, Gregory D. Fink, Kimber Converso-Baran
Publikováno v:
JCI Insight
JCI Insight, Vol 5, Iss 19 (2020)
JCI Insight, Vol 5, Iss 19 (2020)
The spontaneously hypertensive rat (SHR) is a genetic model of primary hypertension with an etiology that includes sympathetic overdrive. To elucidate the neurogenic mechanisms underlying the pathophysiology of this model, we analyzed the dynamic bar
Autor:
Brian E. Carlson, Rebecca E. Gasper, Steffen S. Docken, Caron Dean, Mette S. Olufsen, Maria-Veronica Ciocanel
Publikováno v:
Biological Cybernetics. 113:105-120
Mathematical models can provide useful insights explaining behavior observed in experimental data; however, rigorous analysis is needed to select a subset of model parameters that can be informed by available data. Here we present a method to estimat
Deep phenotyping of cardiac function in heart transplant patients using cardiovascular system models
Autor:
N. Payton Woodall, Mette S. Olufsen, Brian E. Carlson, Karam G. Kim, Amanda L. Colunga, Todd F. Dardas, John H. Gennari
Publikováno v:
The Journal of physiologyReferences. 598(15)
Heart transplant patients are followed with periodic right heart catheterizations (RHCs) to identify post-transplant complications and guide treatment. Post-transplant positive outcomes are associated with a steady reduction of right ventricular and
Autor:
John H. Gennari, Maxwell Lewis Neal, Ryan James, Brian E. Carlson, Christopher T. Thompson, Daniel L. Cook, Karam G. Kim
Publikováno v:
Bioinformatics
Summary As the number and complexity of biosimulation models grows, so do demands for tools that can help users understand models and compose more comprehensive and accurate systems from existing models. SemGen is a tool for semantics-based annotatio