Search research articles
Contact Us
Filters
Showing results (11-20 of 167) with videos related to
Page
of 17
Sort By:
The Journal of Infection
|
February 12, 2021
Home-based SARS-CoV-2 lateral flow antigen testing in hospital workers
Louise O Downs, David W Eyre, Denise O'Donnell, et al.
Genome Biology
|
September 27, 2025
Machine learning and statistical inference in microbial population genomics
Samuel K Sheppard, Nicolas Arning, David W Eyre, et al.
Anaerobe
|
March 21, 2025
Molecular clock complexities of Clostridioides difficile
Jon J Vernon, David W Eyre, Mark H Wilcox, et al.
Nature Machine Intelligence
|
August 24, 2023
Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning
Jenny Yang, Andrew A S Soltan, David W Eyre, et al.
PLOS Digital Health
|
July 21, 2025
Community-acquired pneumonia identification from electronic health records in the absence of a gold standard: A Bayesian latent class analysis
Jia Wei, Kevin Yuan, Augustine Luk, et al.
Journal of Clinical Microbiology
|
April 29, 2021
Metagenomic Sequencing as a Pathogen-Agnostic Clinical Diagnostic Tool for Infectious Diseases: a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies
Kumeren N Govender, Teresa L Street, Nicholas D Sanderson, et al.
The Journal of Infection
|
August 3, 2024
'Bloodstream infection': A valuable concept we should keep in our toolbox
Anders Skyrud Danielsen, Qingze Gu, Aasmund Fostervold, et al.
IEEE Journal of Biomedical and Health Informatics
|
August 6, 2020
Hospital Admission Location Prediction via Deep Interpretable Networks for the Year-Round Improvement of Emergency Patient Care
Rasheed El-Bouri, David W Eyre, Peter Watkinson, et al.
British Journal of Haematology
|
June 7, 2021
Reduction in incidence of non-COVID-19 respiratory virus infection amongst haematology inpatients following UK social distancing measures
Toby A Eyre, Louis Peters, Monique I Andersson, et al.
NPJ Digital Medicine
|
March 29, 2023
An adversarial training framework for mitigating algorithmic biases in clinical machine learning
Jenny Yang, Andrew A S Soltan, David W Eyre, et al.
Page
of 17
Search research articles
Search
Showing results (11-20 of 167) with videos related to
Sort By:
Page
of 17
The Journal of Infection
|
February 12, 2021
Home-based SARS-CoV-2 lateral flow antigen testing in hospital workers
Louise O Downs, David W Eyre, Denise O'Donnell, et al.
Genome Biology
|
September 27, 2025
Machine learning and statistical inference in microbial population genomics
Samuel K Sheppard, Nicolas Arning, David W Eyre, et al.
Anaerobe
|
March 21, 2025
Molecular clock complexities of Clostridioides difficile
Jon J Vernon, David W Eyre, Mark H Wilcox, et al.
Nature Machine Intelligence
|
August 24, 2023
Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning
Jenny Yang, Andrew A S Soltan, David W Eyre, et al.
PLOS Digital Health
|
July 21, 2025
Community-acquired pneumonia identification from electronic health records in the absence of a gold standard: A Bayesian latent class analysis
Jia Wei, Kevin Yuan, Augustine Luk, et al.
Journal of Clinical Microbiology
|
April 29, 2021
Metagenomic Sequencing as a Pathogen-Agnostic Clinical Diagnostic Tool for Infectious Diseases: a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies
Kumeren N Govender, Teresa L Street, Nicholas D Sanderson, et al.
The Journal of Infection
|
August 3, 2024
'Bloodstream infection': A valuable concept we should keep in our toolbox
Anders Skyrud Danielsen, Qingze Gu, Aasmund Fostervold, et al.
IEEE Journal of Biomedical and Health Informatics
|
August 6, 2020
Hospital Admission Location Prediction via Deep Interpretable Networks for the Year-Round Improvement of Emergency Patient Care
Rasheed El-Bouri, David W Eyre, Peter Watkinson, et al.
British Journal of Haematology
|
June 7, 2021
Reduction in incidence of non-COVID-19 respiratory virus infection amongst haematology inpatients following UK social distancing measures
Toby A Eyre, Louis Peters, Monique I Andersson, et al.
NPJ Digital Medicine
|
March 29, 2023
An adversarial training framework for mitigating algorithmic biases in clinical machine learning
Jenny Yang, Andrew A S Soltan, David W Eyre, et al.
Page
of 17