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Luke T Dang

Showing results (1-10 of 14) with videos related to

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International Journal of Laboratory Hematology|July 21, 2021
Machine learning in health care and laboratory medicine: General overview of supervised learning and Auto-MLHooman H Rashidi, Nam Tran, Samer Albahra, et al.
Clinical Toxicology (Philadelphia, Pa.)|March 7, 2020
Acetaminophen interference with Nova StatStrip<sup>®</sup> Glucose Meter: case report with bench top confirmationJames A Chenoweth, Luke T Dang, Guofeng Gao, et al.
Scientific Reports|September 10, 2021
Automated machine learning for endemic active tuberculosis prediction from multiplex serological dataHooman H Rashidi, Luke T Dang, Samer Albahra, et al.
Molecular Biosystems|June 23, 2010
Sequence or structure: using bioinformatics and homology modeling to understand functional relationships in cAMP/cGMP binding domainsNatalie A LaFranzo, Matthew K Strulson, Dawn M Yanker, et al.
The Journal of Biological Chemistry|May 20, 2011
Phylogenetic and functional analysis of histidine residues essential for pH-dependent multimerization of von Willebrand factorLuke T Dang, Angie R Purvis, Ren-Huai Huang, et al.
Journal of the European Academy of Dermatology and Venereology : JEADV|August 22, 2022
The influence of PRAME immunohistochemistry on the diagnosis, diagnostic confidence and treatment recommendation by dermatopathologists: A single institution prospective survey-based studyLuke T Dang, Iryna Rybak, Yue Lyu, et al.
Journal of Cutaneous Pathology|February 4, 2022
Characteristics of amelanotic acantholytic-like melanoma resembling squamous cell carcinomaLuke T Dang, Jessica R Terrell, Thomas Konia, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 27, 2007
Two Cys residues essential for von Willebrand factor multimer assembly in the GolgiAngie R Purvis, Julia Gross, Luke T Dang, et al.
Journal of Pathology Informatics|February 9, 2022
Prediction of Tuberculosis Using an Automated Machine Learning Platform for Models Trained on Synthetic DataHooman H Rashidi, Imran H Khan, Luke T Dang, et al.
Scientific Reports|June 27, 2024
Comparing machine learning screening approaches using clinical data and cytokine profiles for COVID-19 in resource-limited and resource-abundant settingsHooman H Rashidi, Aamer Ikram, Luke T Dang, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
International Journal of Laboratory Hematology|July 21, 2021
Machine learning in health care and laboratory medicine: General overview of supervised learning and Auto-MLHooman H Rashidi, Nam Tran, Samer Albahra, et al.
Clinical Toxicology (Philadelphia, Pa.)|March 7, 2020
Acetaminophen interference with Nova StatStrip<sup>®</sup> Glucose Meter: case report with bench top confirmationJames A Chenoweth, Luke T Dang, Guofeng Gao, et al.
Scientific Reports|September 10, 2021
Automated machine learning for endemic active tuberculosis prediction from multiplex serological dataHooman H Rashidi, Luke T Dang, Samer Albahra, et al.
Molecular Biosystems|June 23, 2010
Sequence or structure: using bioinformatics and homology modeling to understand functional relationships in cAMP/cGMP binding domainsNatalie A LaFranzo, Matthew K Strulson, Dawn M Yanker, et al.
The Journal of Biological Chemistry|May 20, 2011
Phylogenetic and functional analysis of histidine residues essential for pH-dependent multimerization of von Willebrand factorLuke T Dang, Angie R Purvis, Ren-Huai Huang, et al.
Journal of the European Academy of Dermatology and Venereology : JEADV|August 22, 2022
The influence of PRAME immunohistochemistry on the diagnosis, diagnostic confidence and treatment recommendation by dermatopathologists: A single institution prospective survey-based studyLuke T Dang, Iryna Rybak, Yue Lyu, et al.
Journal of Cutaneous Pathology|February 4, 2022
Characteristics of amelanotic acantholytic-like melanoma resembling squamous cell carcinomaLuke T Dang, Jessica R Terrell, Thomas Konia, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 27, 2007
Two Cys residues essential for von Willebrand factor multimer assembly in the GolgiAngie R Purvis, Julia Gross, Luke T Dang, et al.
Journal of Pathology Informatics|February 9, 2022
Prediction of Tuberculosis Using an Automated Machine Learning Platform for Models Trained on Synthetic DataHooman H Rashidi, Imran H Khan, Luke T Dang, et al.
Scientific Reports|June 27, 2024
Comparing machine learning screening approaches using clinical data and cytokine profiles for COVID-19 in resource-limited and resource-abundant settingsHooman H Rashidi, Aamer Ikram, Luke T Dang, et al.
Pageof 2