Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Daniel Boley"'
Publikováno v:
PLoS ONE, Vol 13, Iss 2, p e0191803 (2018)
Many differentiated cells rely primarily on mitochondrial oxidative phosphorylation for generating energy in the form of ATP needed for cellular metabolism. In contrast most tumor cells instead rely on aerobic glycolysis leading to lactate to about t
Externí odkaz:
https://doaj.org/article/49b9e7f015494204bacd3ae7a3045112
Publikováno v:
Intelligent Autonomous Systems 17 ISBN: 9783031222153
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3938c6c3db96c87d4c018aea3d34daa
https://doi.org/10.1007/978-3-031-22216-0_48
https://doi.org/10.1007/978-3-031-22216-0_48
Publikováno v:
Journal of Clinical Neuroscience. 90:206-211
Radiomics seeks to apply classical methods of image processing to obtain quantitative parameters from imaging. Derived features are subsequently fed into algorithmic models to aid clinical decision making. The application of radiomics and machine lea
Publikováno v:
Neurosurgery. 89:177-184
Radiomics is an emerging discipline that aims to make intelligent predictions and derive medical insights based on quantitative features extracted from medical images as a means to improve clinical diagnosis or outcome. Pertaining to glioblastoma, ra
Publikováno v:
Neurosurgery. 89:323-328
Background The rarity of Isocitrate Dehydrogenase mutated (mIDH) glioblastomas relative to wild-type IDH glioblastomas, as well as their distinct tumor physiology, effectively render them "outliers". Specialized tools are needed to identify these out
Performance of a Chest Radiograph AI Diagnostic Tool for COVID-19: A Prospective Observational Study
Autor:
Ju Sun, Le Peng, Taihui Li, Dyah Adila, Zach Zaiman, Genevieve B. Melton-Meaux, Nicholas E. Ingraham, Eric Murray, Daniel Boley, Sean Switzer, John L. Burns, Kun Huang, Tadashi Allen, Scott D. Steenburg, Judy Wawira Gichoya, Erich Kummerfeld, Christopher J. Tignanelli
Publikováno v:
Radiology. Artificial intelligence. 4(4)
To conduct a prospective observational study across 12 U.S. hospitals to evaluate real-time performance of an interpretable artificial intelligence (AI) model to detect COVID-19 on chest radiographs.A total of 95 363 chest radiographs were included i
Publikováno v:
Linear Algebra and its Applications. 564:126-158
We first present a comprehensive review of various Markov metrics used in the literature and express them in a consistent framework. We then introduce the fundamental tensor – a generalization of the well-known fundamental matrix – and show that
Autor:
Yi Zhang, Daniel Boley
Due to its implication in cancer treatment, the Warburg Effect has received extensive in silico investigation. Flux Balance Analysis (FBA), based on constrained optimization, was successfully applied in the Warburg Effect modelling. Yet, the assumpti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6362f531eaa98fc4969e1138dbe7ba8b
Autor:
Le Peng, Scott D. Steenburg, Dyah Adila, Christopher J. Tignanelli, Taihui Li, Eric Murray, John L. Burns, Tadashi Allen, Sean Switzer, Judy Wawira Gichoya, Zach Zaiman, Ju Sun, Daniel Boley, Nicholas E. Ingraham, Erich Kummerfeld, Kun Huang, Genevieve B. Melton
Publikováno v:
ArXiv
article-version (number) 1
article-version (status) pre
article-version (number) 1
article-version (status) pre
Importance: An artificial intelligence (AI)-based model to predict COVID-19 likelihood from chest x-ray (CXR) findings can serve as an important adjunct to accelerate immediate clinical decision making and improve clinical decision making. Despite si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e7ec3805f54acad5095175173aa641b
Publikováno v:
Neurosurgery. 67