Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Amrita Srinivasan"'
Autor:
Thomas M Lietman, Jennifer Rose-Nussbaumer, Bennie H Jeng, Benjamin F Arnold, Winston Chamberlain, Ellen H Koo, Zeba A Syed, Jonathan Lass, Charles C Lin, Jennifer Y Li, William Gensheimer, Jameson Clover, Nicole Varnado, Sarah Abdelrahman, Beth Ann Benetz, Amrita Srinivasan
Publikováno v:
BMJ Open Ophthalmology, Vol 9, Iss 1 (2024)
Introduction It remains uncertain whether Descemet membrane endothelial keratoplasty (DMEK) or Descemet stripping only (DSO) yields better outcomes in patients with symptomatic Fuchs endothelial corneal dystrophy (FECD). This paper presents the proto
Externí odkaz:
https://doaj.org/article/3bf3c5b14130429dae448403754ab4c0
Autor:
Jonalyn DeCastro, Joshua Littig, Peichi Peggy Chou, Jada Mack-Onyeike, Amrita Srinivasan, Michael J. Conboy, Irina M. Conboy, Kiana Aran
Publikováno v:
Molecules, Vol 26, Iss 3, p 535 (2021)
As the fields of aging and neurological disease expand to liquid biopsies, there is a need to identify informative biomarkers for the diagnosis of neurodegeneration and other age-related disorders such as cancers. A means of high-throughput screening
Externí odkaz:
https://doaj.org/article/30aa4109c1bc4486a3f0a314619390af
Autor:
Bryana M. Levitan, Eman Elsawalhy, Himi Tripathi, Nicholas Dobrozsi, Hsuan Peng, Raymond Kong, Erhe Gao, Anuhya Gottipati, Ahmed Al-Darraji, Lakshman Chelvarajan, Amrita Srinivasan, Ahmed Abdel-Latif, Renee R. Donahue, Kara A. Davis, Calvin F. Cahall, Brad J. Berron
Publikováno v:
ACS applied bio materials. 4(2)
Mesenchymal stem cell (MSC) therapy has been widely tested in clinical trials to promote healing post-myocardial infarction. However, low cell retention and the need for a large donor cell number in human studies remain a key challenge for clinical t
Autor:
Amrita Srinivasan, Kiana Aran, Joshua Littig, Jonalyn DeCastro, Peichi Peggy Chou, Jada Mack-Onyeike, Michael J. Conboy, Irina M. Conboy
Publikováno v:
Molecules
Molecules (Basel, Switzerland), vol 26, iss 3
Molecules, Vol 26, Iss 535, p 535 (2021)
Molecules (Basel, Switzerland), vol 26, iss 3
Molecules, Vol 26, Iss 535, p 535 (2021)
As the fields of aging and neurological disease expand to liquid biopsies, there is a need to identify informative biomarkers for the diagnosis of neurodegeneration and other age-related disorders such as cancers. A means of high-throughput screening
Autor:
Ahmed Abdel-Latif, John C. Gurley, Matthew Lane, Naoki Misumida, David C. Booth, Andrew R. Kolodziej, Sun Moon Kim, Amrita Srinivasan, Dustin Hillerson, Richard Charnigo
Publikováno v:
Journal of the American College of Cardiology. 77:628
Publikováno v:
Procedia CIRP. 29:396-401
In the current age of big data and sustainability, accuracy and effectiveness of life-cycle assessment (LCA) are becoming more important for strategic decision-making. This paper describes a data-intensive approach to life-cycle assessment, with the
Autor:
Samuel C. Li, Audrey C. Ford, Amrita Srinivasan, Lisa A. Pruitt, Hannah M. Gramling, Jessica V. Sov
Publikováno v:
Journal of the mechanical behavior of biomedical materials. 79
Polycarbonate polyurethane has cartilage-like, hygroscopic, and elastomeric properties that make it an attractive material for orthopedic joint replacement application. However, little data exists on the cyclic loading and fracture behavior of polyca
Publikováno v:
2016 International Symposium on Flexible Automation (ISFA).
Improved data quality and availability, along with lower computation costs, have generated interest in sensor-based tool condition monitoring technologies. In this study, an integrated vibration and acoustic sensor is used for tool condition monitori
Autor:
Sudarsan Rachuri, Jinkyoo Park, Moneer Helu, Amrita Srinivasan, Nishant Biswas, Raunak Bhinge, David Dornfeld, Kincho H. Law
Publikováno v:
Volume 2: Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing.
Using a machine learning approach, this study investigates the effects of machining parameters on the energy consumption of a milling machine tool, which would allow selection of optimal operational strategies to machine a part with minimum energy. D