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American Journal of Respiratory Cell and Molecular Biology
|
February 25, 2026
Whole blood transcriptomics reveals sepsis mortality-associated changes in neutrophil degranulation
Heather M Giannini, Mengyuan Kan, Christopher V Cosgriff, et al.
Clinical and Translational Medicine
|
November 10, 2023
Deep phenotyping of the lipidomic response in COVID-19 and non-COVID-19 sepsis
Hu Meng, Arjun Sengupta, Emanuela Ricciotti, et al.
Biorxiv : the Preprint Server for Biology
|
July 3, 2023
Deep Phenotyping of the Lipidomic Response in COVID and non-COVID Sepsis
Hu Meng, Arjun Sengupta, Emanuela Ricciotti, et al.
Critical Care Explorations
|
December 8, 2022
Validating a Proteomic Signature of Severe COVID-19
Christopher V Cosgriff, Todd A Miano, Divij Mathew, et al.
Cell Reports. Medicine
|
November 8, 2024
Cytometry masked autoencoder: An accurate and interpretable automated immunophenotyper
Jaesik Kim, Matei Ionita, Matthew Lee, et al.
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Search research articles
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Showing results (11-20 of 15) with videos related to
Sort By:
Page
of 2
You have reached the last page of results.
This site can display upto 15 results.
American Journal of Respiratory Cell and Molecular Biology
|
February 25, 2026
Whole blood transcriptomics reveals sepsis mortality-associated changes in neutrophil degranulation
Heather M Giannini, Mengyuan Kan, Christopher V Cosgriff, et al.
Clinical and Translational Medicine
|
November 10, 2023
Deep phenotyping of the lipidomic response in COVID-19 and non-COVID-19 sepsis
Hu Meng, Arjun Sengupta, Emanuela Ricciotti, et al.
Biorxiv : the Preprint Server for Biology
|
July 3, 2023
Deep Phenotyping of the Lipidomic Response in COVID and non-COVID Sepsis
Hu Meng, Arjun Sengupta, Emanuela Ricciotti, et al.
Critical Care Explorations
|
December 8, 2022
Validating a Proteomic Signature of Severe COVID-19
Christopher V Cosgriff, Todd A Miano, Divij Mathew, et al.
Cell Reports. Medicine
|
November 8, 2024
Cytometry masked autoencoder: An accurate and interpretable automated immunophenotyper
Jaesik Kim, Matei Ionita, Matthew Lee, et al.
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of 2