Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Jennifer R Charlton"'
Autor:
Jennifer Garcia Jetton, Ronnie Guillet, David J Askenazi, Lynn Dill, Judd Jacobs, Alison L Kent, David T Selewski, Carolyn L Abitbol, Fredrick J Kaskel, Maroun Jean Mhanna, Namasivayam Ambalavanan, Jennifer R Charlton
Publikováno v:
Frontiers in Pediatrics, Vol 4 (2016)
INTRODUCTION: Acute kidney injury (AKI) affects ~30% of hospitalized neonates. Critical to advancing our understanding of neonatal AKI is collaborative research among neonatologists and nephrologists. The Neonatal Kidney Collaborative (NKC) is an int
Externí odkaz:
https://doaj.org/article/9d2aa08f984449c8bf5a83195a19f747
Autor:
Jennifer R. Charlton, Teng Li, Teresa Wu, Kimberly deRonde, Yanzhe Xu, Edwin J. Baldelomar, Kevin M. Bennett
Publikováno v:
BMC Nephrology, Vol 24, Iss 1, Pp 1-13 (2023)
Abstract Background A significant barrier to biomarker development in the field of acute kidney injury (AKI) is the use of kidney function to identify candidates. Progress in imaging technology makes it possible to detect early structural changes pri
Externí odkaz:
https://doaj.org/article/c1156e490a814312a7d325ab872422ed
Publikováno v:
Bioengineering, Vol 10, Iss 12, p 1372 (2023)
Medical imaging-based biomarkers derived from small objects (e.g., cell nuclei) play a crucial role in medical applications. However, detecting and segmenting small objects (a.k.a. blobs) remains a challenging task. In this research, we propose a nov
Externí odkaz:
https://doaj.org/article/0e5af824e5cf45eb8697affd266ec1e4
Autor:
Aleksandra Cwiek, Masako Suzuki, Kimberly deRonde, Mark Conaway, Kevin M. Bennett, Samir El Dahr, Kimberly J. Reidy, Jennifer R. Charlton
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Preterm birth is a leading cause of neonatal morbidity. Survivors have a greater risk for kidney dysfunction and hypertension. Little is known about the molecular changes that occur in the kidney of individuals born preterm. Here, we demonst
Externí odkaz:
https://doaj.org/article/18b43f87c303431d9d6ae315e4174c3d
Publikováno v:
Applied Sciences, Vol 12, Iss 15, p 7599 (2022)
Generative Adversarial Networks (GANs) are a class of deep learning models being applied to image processing. GANs have demonstrated state-of-the-art performance in applications such as image generation and image-to-image translation, just to name a
Externí odkaz:
https://doaj.org/article/ceff74327de644d2a6cef502dfe0c7bd
Publikováno v:
American Journal of Physiology-Renal Physiology. 323:F602-F611
The kidney has an extraordinary ability to maintain glomerular filtration despite natural fluctuations in blood pressure and nephron loss. This is partly due to local coordination between single-nephron filtration and vascular perfusion. An improved
Autor:
Matthew W. Harer, Jennifer R. Charlton
Publikováno v:
Clin J Am Soc Nephrol
BACKGROUND AND OBJECTIVES: The current threshold used for oliguria in the definition of neonatal AKI has been empirically defined as 1 ml/kg per hour. Urine output criteria are generally poorly documented, resulting in uncertainty in the most accurat
Publikováno v:
Pediatric Critical Care Medicine. 23:e366-e370
Acute kidney injury (AKI), particularly of greater severity and longer duration, is associated with increased morbidity and mortality in the pediatric population. AKI frequently occurs during sepsis, yet the knowledge of risk factors for sepsis-assoc
Autor:
Abby M Basalely, David T. Selewski, Mamta Fuloria, David J. Askenazi, Russell Griffin, Frederick J. Kaskel, Jennifer R. Charlton, Katja M. Gist, Ronnie Guillet, Kimberly J. Reidy
Publikováno v:
Journal of Perinatology. 42:1353-1360
Objective To determine the association of dysnatremia in the first postnatal week and risk of acute kidney injury (AKI) and mortality. Study design A secondary analysis of 1979 neonates in the AWAKEN cohort evaluated the association of dysnatremia wi
Autor:
Neda Parvin, Jamal J. Derakhshan, Kevin M. Bennett, Jennifer R. Charlton, Yanzhe Xu, Darya Morozov, Scott C. Beeman, Edwin J. Baldelomar, Fei Gao, Teresa Wu
Publikováno v:
Am J Physiol Renal Physiol
Kidney pathologies are often highly heterogeneous. To comprehensively understand kidney structure and pathology, it is critical to develop tools to map tissue microstructure in the context of the whole, intact organ. Magnetic resonance imaging (MRI)