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Christopher McMaster

Showing results (1-10 of 13) with videos related to

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Drug Safety|April 17, 2019
Correction to: A Machine-Learning Algorithm to Optimise Automated Adverse Drug Reaction Detection from Clinical CodingChristopher McMaster, David Liew, Claire Keith, et al.
Drug Safety|February 7, 2019
A Machine-Learning Algorithm to Optimise Automated Adverse Drug Reaction Detection from Clinical CodingChristopher McMaster, David Liew, Claire Keith, et al.
European Journal of Immunology|May 11, 2005
CXCR3 is required for migration to dermal inflammation by normal and in vivo activated T cells: differential requirements by CD4 and CD8 memory subsetsKarkada Mohan, Erin Cordeiro, Maria Vaci, et al.
RMD Open|February 24, 2022
Waiting for JAK inhibitor safety dataTue Wenzel Kragstrup, Bente Glintborg, Annemarie L Svensson, et al.
International Journal of Rheumatic Diseases|October 12, 2020
Neutrophil to lymphocyte ratio predicts glucocorticoid resistance in polymyalgia rheumaticaClaire E Owen, Christopher McMaster, David F L Liew, et al.
Journal of Biomedical Informatics|December 4, 2022
Developing a deep learning natural language processing algorithm for automated reporting of adverse drug reactionsChristopher McMaster, Julia Chan, David F L Liew, et al.
Drug Safety|July 25, 2023
Managing Cardiovascular and Cancer Risk Associated with JAK InhibitorsVictor Yang, Tue W Kragstrup, Christopher McMaster, et al.
Arthritis & Rheumatology (Hoboken, N.J.)|July 20, 2022
Artificial Intelligence and Deep Learning for RheumatologistsChristopher McMaster, Alix Bird, David F L Liew, et al.
Rheumatology Advances in Practice|March 27, 2023
Diagnosis of septic arthritis in the acute care setting: the value of routine intra-operative sample culturePallavi Shamdasani, David F L Liew, Michael Nohrenberg, et al.
Arthritis Research & Therapy|December 12, 2022
Artificial intelligence and the future of radiographic scoring in rheumatoid arthritis: a viewpointAlix Bird, Lauren Oakden-Rayner, Christopher McMaster, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Drug Safety|April 17, 2019
Correction to: A Machine-Learning Algorithm to Optimise Automated Adverse Drug Reaction Detection from Clinical CodingChristopher McMaster, David Liew, Claire Keith, et al.
Drug Safety|February 7, 2019
A Machine-Learning Algorithm to Optimise Automated Adverse Drug Reaction Detection from Clinical CodingChristopher McMaster, David Liew, Claire Keith, et al.
European Journal of Immunology|May 11, 2005
CXCR3 is required for migration to dermal inflammation by normal and in vivo activated T cells: differential requirements by CD4 and CD8 memory subsetsKarkada Mohan, Erin Cordeiro, Maria Vaci, et al.
RMD Open|February 24, 2022
Waiting for JAK inhibitor safety dataTue Wenzel Kragstrup, Bente Glintborg, Annemarie L Svensson, et al.
International Journal of Rheumatic Diseases|October 12, 2020
Neutrophil to lymphocyte ratio predicts glucocorticoid resistance in polymyalgia rheumaticaClaire E Owen, Christopher McMaster, David F L Liew, et al.
Journal of Biomedical Informatics|December 4, 2022
Developing a deep learning natural language processing algorithm for automated reporting of adverse drug reactionsChristopher McMaster, Julia Chan, David F L Liew, et al.
Drug Safety|July 25, 2023
Managing Cardiovascular and Cancer Risk Associated with JAK InhibitorsVictor Yang, Tue W Kragstrup, Christopher McMaster, et al.
Arthritis & Rheumatology (Hoboken, N.J.)|July 20, 2022
Artificial Intelligence and Deep Learning for RheumatologistsChristopher McMaster, Alix Bird, David F L Liew, et al.
Rheumatology Advances in Practice|March 27, 2023
Diagnosis of septic arthritis in the acute care setting: the value of routine intra-operative sample culturePallavi Shamdasani, David F L Liew, Michael Nohrenberg, et al.
Arthritis Research & Therapy|December 12, 2022
Artificial intelligence and the future of radiographic scoring in rheumatoid arthritis: a viewpointAlix Bird, Lauren Oakden-Rayner, Christopher McMaster, et al.
Pageof 2