Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Salma Shaikhouni"'
Autor:
Joonsang Lee, Elisa Warner, Salma Shaikhouni, Markus Bitzer, Matthias Kretzler, Debbie Gipson, Subramaniam Pennathur, Keith Bellovich, Zeenat Bhat, Crystal Gadegbeku, Susan Massengill, Kalyani Perumal, Jharna Saha, Yingbao Yang, Jinghui Luo, Xin Zhang, Laura Mariani, Jeffrey B. Hodgin, Arvind Rao
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Machine learning applied to digital pathology has been increasingly used to assess kidney function and diagnose the underlying cause of chronic kidney disease (CKD). We developed a novel computational framework, clustering-based spatial anal
Externí odkaz:
https://doaj.org/article/0eec12b4c60846b9b414230ba0f4f3e6
Autor:
Joonsang Lee, Elisa Warner, Salma Shaikhouni, Markus Bitzer, Matthias Kretzler, Debbie Gipson, Subramaniam Pennathur, Keith Bellovich, Zeenat Bhat, Crystal Gadegbeku, Susan Massengill, Kalyani Perumal, Jharna Saha, Yingbao Yang, Jinghui Luo, Xin Zhang, Laura Mariani, Jeffrey B. Hodgin, Arvind Rao, the C-PROBE Study
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract Pathologists use visual classification to assess patient kidney biopsy samples when diagnosing the underlying cause of kidney disease. However, the assessment is qualitative, or semi-quantitative at best, and reproducibility is challenging.
Externí odkaz:
https://doaj.org/article/fe2e0a13ca2544f7bdcbdd8b50cb682f
Autor:
Joonsang Lee, Elisa Warner, Salma Shaikhouni, Markus Bitzer, Matthias Kretzler, Debbie Gipson, Subramaniam Pennathur, Keith Bellovich, Zeenat Bhat, Crystal Gadegbeku, Susan Massengill, Kalyani Perumal, Jharna Saha, Yingbao Yang, Jinghui Luo, Xin Zhang, Laura Mariani, Jeffrey B. Hodgin, Arvind Rao
Machine learning applied to digital pathology has been increasingly used to assess kidney function and diagnose the underlying cause of chronic kidney disease (CKD). We developed a novel computational framework, Clustering-based Spatial Analysis (Clu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1289cc82538529dec82b9d1fa85a380b
https://doi.org/10.1101/2022.12.13.22283319
https://doi.org/10.1101/2022.12.13.22283319
Publikováno v:
Glomerular Diseases
Background: The novel coronavirus disease (COVID-19), also known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is an evolving pandemic with significant mortality. Information about the impact of infection on glomerular disease pati
Autor:
Salma Shaikhouni, Lenar Yessayan
Publikováno v:
The Surgical clinics of North America. 102(1)
Common causes of acute kidney injury (AKI) in the ICU setting include acute tubular necrosis (due to shock, hemolysis, rhabdomyolysis, or procedures that compromise renal perfusion), abdominal compartment syndrome, urinary retention, and interstitial
Autor:
Joonsang, Lee, Elisa, Warner, Salma, Shaikhouni, Markus, Bitzer, Matthias, Kretzler, Debbie, Gipson, Subramaniam, Pennathur, Keith, Bellovich, Zeenat, Bhat, Crystal, Gadegbeku, Susan, Massengill, Kalyani, Perumal, Jharna, Saha, Yingbao, Yang, Jinghui, Luo, Xin, Zhang, Laura, Mariani, Jeffrey B, Hodgin, Arvind, Rao
Publikováno v:
Scientific reports. 12(1)
Pathologists use visual classification to assess patient kidney biopsy samples when diagnosing the underlying cause of kidney disease. However, the assessment is qualitative, or semi-quantitative at best, and reproducibility is challenging. To discov
Autor:
Michael Heung, Anca Tilea, Markus Bitzer, Ryann Sohaney, Lenar Yessayan, Salma Shaikhouni, John Travis Ludwig
Publikováno v:
Blood Purification
Background and Objectives: Acute kidney injury (AKI) is a common complication among patients with COVID-19 and acute respiratory distress syndrome. Reports suggest that COVID-19 confers a pro-thrombotic state, which presents challenges in maintaining
Publikováno v:
Blood purification. 50(3)
Introduction: The coronavirus disease 2019 (COVID-19) pandemic led to increased demand nationwide for dialysis equipment, including supplies and machines. To meet the demand in our institution, our surge plan included rapid mobilization of a novel co