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Nikhil Ram Mohan

Showing results (21-30 of 29) with videos related to

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Nature Microbiology|June 12, 2023
Phage diversity in cell-free DNA identifies bacterial pathogens in human sepsis casesNaomi L Haddock, Layla J Barkal, Nikhil Ram-Mohan, et al.
Medrxiv : the Preprint Server for Health Sciences|March 22, 2022
Detection of bacterial co-infections and prediction of fatal outcomes in COVID-19 patients presenting to the emergency department using a 29 mRNA host response classifierNikhil Ram-Mohan, Angela J Rogers, Catherine A Blish, et al.
Microbiology Spectrum|October 17, 2022
Using a 29-mRNA Host Response Classifier To Detect Bacterial Coinfections and Predict Outcomes in COVID-19 Patients Presenting to the Emergency DepartmentNikhil Ram-Mohan, Angela J Rogers, Catherine A Blish, et al.
Antibiotics (Basel, Switzerland)|April 23, 2022
Diagnosis of Bloodstream Infections: An Evolution of Technologies towards Accurate and Rapid Identification and Antibiotic Susceptibility TestingKristel C Tjandra, Nikhil Ram-Mohan, Ryuichiro Abe, et al.
Lab on a Chip|February 3, 2025
Precision single cell analysis to characterize host dependent antimicrobial response heterogeneity in physiological mediumRyuichiro Abe, Jyong-Huei Lee, Siew Mei Chin, et al.
Medrxiv : the Preprint Server for Health Sciences|January 5, 2021
SARS-CoV-2 RNAaemia predicts clinical deterioration and extrapulmonary complications from COVID-19Nikhil Ram-Mohan, David Kim, Elizabeth J Zudock, et al.
Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America|May 5, 2021
SARS-CoV-2 RNAemia Predicts Clinical Deterioration and Extrapulmonary Complications from COVID-19Nikhil Ram-Mohan, David Kim, Elizabeth J Zudock, et al.
Science (New York, N.Y.)|February 20, 2025
Disease diagnostics using machine learning of B cell and T cell receptor sequencesMaxim E Zaslavsky, Erin Craig, Jackson K Michuda, et al.
Biorxiv : the Preprint Server for Biology|May 13, 2022
Disease diagnostics using machine learning of immune receptorsMaxim E Zaslavsky, Erin Craig, Jackson K Michuda, et al.
Pageof 3

Showing results (21-30 of 29) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 29 results.
Nature Microbiology|June 12, 2023
Phage diversity in cell-free DNA identifies bacterial pathogens in human sepsis casesNaomi L Haddock, Layla J Barkal, Nikhil Ram-Mohan, et al.
Medrxiv : the Preprint Server for Health Sciences|March 22, 2022
Detection of bacterial co-infections and prediction of fatal outcomes in COVID-19 patients presenting to the emergency department using a 29 mRNA host response classifierNikhil Ram-Mohan, Angela J Rogers, Catherine A Blish, et al.
Microbiology Spectrum|October 17, 2022
Using a 29-mRNA Host Response Classifier To Detect Bacterial Coinfections and Predict Outcomes in COVID-19 Patients Presenting to the Emergency DepartmentNikhil Ram-Mohan, Angela J Rogers, Catherine A Blish, et al.
Antibiotics (Basel, Switzerland)|April 23, 2022
Diagnosis of Bloodstream Infections: An Evolution of Technologies towards Accurate and Rapid Identification and Antibiotic Susceptibility TestingKristel C Tjandra, Nikhil Ram-Mohan, Ryuichiro Abe, et al.
Lab on a Chip|February 3, 2025
Precision single cell analysis to characterize host dependent antimicrobial response heterogeneity in physiological mediumRyuichiro Abe, Jyong-Huei Lee, Siew Mei Chin, et al.
Medrxiv : the Preprint Server for Health Sciences|January 5, 2021
SARS-CoV-2 RNAaemia predicts clinical deterioration and extrapulmonary complications from COVID-19Nikhil Ram-Mohan, David Kim, Elizabeth J Zudock, et al.
Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America|May 5, 2021
SARS-CoV-2 RNAemia Predicts Clinical Deterioration and Extrapulmonary Complications from COVID-19Nikhil Ram-Mohan, David Kim, Elizabeth J Zudock, et al.
Science (New York, N.Y.)|February 20, 2025
Disease diagnostics using machine learning of B cell and T cell receptor sequencesMaxim E Zaslavsky, Erin Craig, Jackson K Michuda, et al.
Biorxiv : the Preprint Server for Biology|May 13, 2022
Disease diagnostics using machine learning of immune receptorsMaxim E Zaslavsky, Erin Craig, Jackson K Michuda, et al.
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