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Frontiers in Immunology
|
March 11, 2021
Machine Learning Identifies Complicated Sepsis Course and Subsequent Mortality Based on 20 Genes in Peripheral Blood Immune Cells at 24 H Post-ICU Admission
Shayantan Banerjee, Akram Mohammed, Hector R Wong, et al.
Die Naturwissenschaften
|
December 1, 2025
Molecular identification, chemical profiling, and bioactive potential of Eryngium thyrsoideum Boiss.: ethnopharmacological perspectives
Hevi Rahim Karim, Kamaran Salh Rasul, Hawar Halshoy, et al.
Database : the Journal of Biological Databases and Curation
|
March 1, 2015
LocSigDB: a database of protein localization signals
Simarjeet Negi, Sanjit Pandey, Satish M Srinivasan, et al.
Computational Biology and Chemistry
|
May 3, 2026
Comparative analysis of biomarker profiles in chronic kidney disease with and without hepatitis B co-infection in Iraq
Abdulhamed Majeed Mohamed, Akram Mohammed Abood, Mohammed A Hamad, et al.
Pediatric Nephrology (Berlin, Germany)
|
June 12, 2026
APOL1 and chronic kidney disease in pediatrics: a study from the Biorepository and Integrative Genomics Initiative
Rima S Zahr, Lokesh Chinthala, Akram Mohammed, et al.
Scientific Reports
|
December 12, 2022
Features derived from blood pressure and intracranial pressure predict elevated intracranial pressure events in critically ill children
Kassi Ackerman, Akram Mohammed, Lokesh Chinthala, et al.
International Journal of Medical Informatics
|
January 10, 2019
A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier
Franco van Wyk, Anahita Khojandi, Akram Mohammed, et al.
Frontiers in Physiology
|
August 18, 2018
A Mechanistic Computational Model Reveals That Plasticity of CD4<sup>+</sup> T Cell Differentiation Is a Function of Cytokine Composition and Dosage
Bhanwar Lal Puniya, Robert G Todd, Akram Mohammed, et al.
Computers in Biology and Medicine
|
February 27, 2021
HeMA: A hierarchically enriched machine learning approach for managing false alarms in real time: A sepsis prediction case study
Zeyu Liu, Anahita Khojandi, Akram Mohammed, et al.
American Journal of Nephrology
|
October 31, 2023
Machine Learning Predicts Acute Kidney Injury in Hospitalized Patients with Sickle Cell Disease
Rima S Zahr, Akram Mohammed, Surabhi Naik, et al.
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of 4
Search research articles
Search
Showing results (11-20 of 31) with videos related to
Sort By:
Page
of 4
Frontiers in Immunology
|
March 11, 2021
Machine Learning Identifies Complicated Sepsis Course and Subsequent Mortality Based on 20 Genes in Peripheral Blood Immune Cells at 24 H Post-ICU Admission
Shayantan Banerjee, Akram Mohammed, Hector R Wong, et al.
Die Naturwissenschaften
|
December 1, 2025
Molecular identification, chemical profiling, and bioactive potential of Eryngium thyrsoideum Boiss.: ethnopharmacological perspectives
Hevi Rahim Karim, Kamaran Salh Rasul, Hawar Halshoy, et al.
Database : the Journal of Biological Databases and Curation
|
March 1, 2015
LocSigDB: a database of protein localization signals
Simarjeet Negi, Sanjit Pandey, Satish M Srinivasan, et al.
Computational Biology and Chemistry
|
May 3, 2026
Comparative analysis of biomarker profiles in chronic kidney disease with and without hepatitis B co-infection in Iraq
Abdulhamed Majeed Mohamed, Akram Mohammed Abood, Mohammed A Hamad, et al.
Pediatric Nephrology (Berlin, Germany)
|
June 12, 2026
APOL1 and chronic kidney disease in pediatrics: a study from the Biorepository and Integrative Genomics Initiative
Rima S Zahr, Lokesh Chinthala, Akram Mohammed, et al.
Scientific Reports
|
December 12, 2022
Features derived from blood pressure and intracranial pressure predict elevated intracranial pressure events in critically ill children
Kassi Ackerman, Akram Mohammed, Lokesh Chinthala, et al.
International Journal of Medical Informatics
|
January 10, 2019
A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier
Franco van Wyk, Anahita Khojandi, Akram Mohammed, et al.
Frontiers in Physiology
|
August 18, 2018
A Mechanistic Computational Model Reveals That Plasticity of CD4<sup>+</sup> T Cell Differentiation Is a Function of Cytokine Composition and Dosage
Bhanwar Lal Puniya, Robert G Todd, Akram Mohammed, et al.
Computers in Biology and Medicine
|
February 27, 2021
HeMA: A hierarchically enriched machine learning approach for managing false alarms in real time: A sepsis prediction case study
Zeyu Liu, Anahita Khojandi, Akram Mohammed, et al.
American Journal of Nephrology
|
October 31, 2023
Machine Learning Predicts Acute Kidney Injury in Hospitalized Patients with Sickle Cell Disease
Rima S Zahr, Akram Mohammed, Surabhi Naik, et al.
Page
of 4