Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Laura Maguire"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-18 (2021)
Abstract Background Machine learning (ML) can be an effective tool to extract information from attribute-rich molecular datasets for the generation of molecular diagnostic tests. However, the way in which the resulting scores or classifications are p
Externí odkaz:
https://doaj.org/article/4f0c66e78c2a4bc59546bba35c72c901
Autor:
Joanna Roder, Heinrich Roder, Senait Asmellash, Minu Srivastava, Wei Zou, Mark McCleland, David Shames, Laura Maguire, Steven Rightmyer, Patrick Norman, Lelia Net, Thomas Campbell, Robert Georgantas
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 9, Iss Suppl 2 (2021)
Externí odkaz:
https://doaj.org/article/53f8edef70ba49fcb857563e894b33bc
Autor:
Joanna Roder, Heinrich Roder, Senait Asmellash, Minu Srivastava, Wei Zou, Mark McCleland, David Shames, Laura Maguire, Steven Rightmyer, Patrick Norman, Lelia Net, Thomas Campbell, Robert Georgantas
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 9, Iss Suppl 2 (2021)
Externí odkaz:
https://doaj.org/article/8bda803207af4c5aabd84706f05249c0
Autor:
Joanna Roder, Heinrich Roder, Minu Srivastava, Wei Zou, Mark McCleland, David Shames, Laura Maguire, Lelia Net, Thomas Campbell, Robert Georgantas
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 9, Iss Suppl 2 (2021)
Externí odkaz:
https://doaj.org/article/7395001df9114371ba0212201b1f030a
Autor:
Laura Maguire
Publikováno v:
Journal of Neonatal Nursing.
Publikováno v:
Biophys J
Selective biofilters are used by cells to control the transport of proteins, nucleic acids, and other macromolecules. Biological filters demonstrate both high specificity and rapid motion or high flux of proteins. In contrast, high flux comes at the
Autor:
Minu K. Srivastava, Joanna Roder, Thomas Campbell, Robert W. Georgantas, Heinrich Roder, David S. Shames, Wei Zou, Mark McCleland, Laura Maguire, Lelia Net
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 9, Iss Suppl 2 (2021)
BackgroundModern machine learning (ML) models based on highly multivariate attribute sets (e.g. unbiased -omics data) can be very successful at generating clinically useful predictions, but at the price of less transparency in how individual attribut
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-18 (2021)
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making
Background Machine learning (ML) can be an effective tool to extract information from attribute-rich molecular datasets for the generation of molecular diagnostic tests. However, the way in which the resulting scores or classifications are produced f
Predicting prognosis in COVID-19 patients using machine learning and readily available clinical data
Autor:
Robert W. Georgantas, Joanna Roder, Kristine M. Erlandson, Heinrich Roder, Thomas Campbell, Melissa P Wilson, Samantha MaWhinney, Laura Maguire
Publikováno v:
International Journal of Medical Informatics
RationalePrognostic tools for aiding in the treatment of hospitalized COVID-19 patients could help improve outcome by identifying patients at higher or lower risk of severe disease.ObjectivesThe study objective was to develop models to stratify patie
Autor:
Senait Asmellash, Thomas Campbell, Joanna Roder, Minu K. Srivastava, David S. Shames, Wei Zou, Mark McCleland, Lelia Net, Heinrich Roder, Steven Rightmyer, Patrick Norman, Robert W. Georgantas, Laura Maguire
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 9, Iss Suppl 2 (2021)
BackgroundImmunotherapy has become a key element in the arsenal of treatments for advanced non-small cell lung cancer (NSCLC). The anti-PD-L1 Response Test (ART), based on mass spectrometry of pretreatment serum, captures the effect of host biology o