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Minyoung Choi

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

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Clinical and Experimental Emergency Medicine|October 16, 2024
Factors that predict emergency department length of stay in analysis of national dataMinha Kim, Sujeong Lee, Minyoung Choi, et al.
ACS Applied Materials & Interfaces|August 12, 2021
In Situ Formation of Ag Nanoparticles for Fiber Strain Sensors: Toward Textile-Based Wearable ApplicationsHwajoong Kim, Ammar Shaqeel, Solbi Han, et al.
Applied and Environmental Microbiology|August 29, 2022
mobileOG-db: a Manually Curated Database of Protein Families Mediating the Life Cycle of Bacterial Mobile Genetic ElementsConnor L Brown, James Mullet, Fadi Hindi, et al.
Oncogene|November 7, 2021
Oncogenic KRAS promotes growth of lung cancer cells expressing SLC3A2-NRG1 fusion via ADAM17-mediated shedding of NRG1Dong Hoon Shin, Sun Ha Kim, Minyoung Choi, et al.
The New Phytologist|September 14, 2010
Association genetics of traits controlling lignin and cellulose biosynthesis in black cottonwood (Populus trichocarpa, Salicaceae) secondary xylemJill L Wegrzyn, Andrew J Eckert, Minyoung Choi, et al.
Clinical and Experimental Emergency Medicine|January 19, 2026
Machine Learning-Based Clusters of Vital Signs and Lactate Levels Predict Vasopressor Use in SepsisDaun Jeong, Minyoung Choi, Seung Jin Maeng, et al.
Advanced Healthcare Materials|February 12, 2024
Modulating Lipid Nanoparticles with Histidinamide-Conjugated Cholesterol for Improved Intracellular Delivery of mRNAOnesun Jung, Hye-Youn Jung, Le Thi Thuy, et al.
Cancers|April 30, 2021
PGC1α Loss Promotes Lung Cancer Metastasis through Epithelial-Mesenchymal TransitionTaek-In Oh, Mingyu Lee, Yoon-Mi Lee, et al.
International Journal of Cancer|April 27, 2019
QKI, a miR-200 target gene, suppresses epithelial-to-mesenchymal transition and tumor growthEun Ju Kim, Jeong Seon Kim, Sieun Lee, et al.
Emergencias : Revista De La Sociedad Espanola De Medicina De Emergencias|February 3, 2025
Scale to predict risk for refractory septic shock based on a hybrid approach using machine learning and regression modelingSejin Heo, Daun Jeong, Minyoung Choi, et al.
Pageof 3

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

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 30 results.
Clinical and Experimental Emergency Medicine|October 16, 2024
Factors that predict emergency department length of stay in analysis of national dataMinha Kim, Sujeong Lee, Minyoung Choi, et al.
ACS Applied Materials & Interfaces|August 12, 2021
In Situ Formation of Ag Nanoparticles for Fiber Strain Sensors: Toward Textile-Based Wearable ApplicationsHwajoong Kim, Ammar Shaqeel, Solbi Han, et al.
Applied and Environmental Microbiology|August 29, 2022
mobileOG-db: a Manually Curated Database of Protein Families Mediating the Life Cycle of Bacterial Mobile Genetic ElementsConnor L Brown, James Mullet, Fadi Hindi, et al.
Oncogene|November 7, 2021
Oncogenic KRAS promotes growth of lung cancer cells expressing SLC3A2-NRG1 fusion via ADAM17-mediated shedding of NRG1Dong Hoon Shin, Sun Ha Kim, Minyoung Choi, et al.
The New Phytologist|September 14, 2010
Association genetics of traits controlling lignin and cellulose biosynthesis in black cottonwood (Populus trichocarpa, Salicaceae) secondary xylemJill L Wegrzyn, Andrew J Eckert, Minyoung Choi, et al.
Clinical and Experimental Emergency Medicine|January 19, 2026
Machine Learning-Based Clusters of Vital Signs and Lactate Levels Predict Vasopressor Use in SepsisDaun Jeong, Minyoung Choi, Seung Jin Maeng, et al.
Advanced Healthcare Materials|February 12, 2024
Modulating Lipid Nanoparticles with Histidinamide-Conjugated Cholesterol for Improved Intracellular Delivery of mRNAOnesun Jung, Hye-Youn Jung, Le Thi Thuy, et al.
Cancers|April 30, 2021
PGC1α Loss Promotes Lung Cancer Metastasis through Epithelial-Mesenchymal TransitionTaek-In Oh, Mingyu Lee, Yoon-Mi Lee, et al.
International Journal of Cancer|April 27, 2019
QKI, a miR-200 target gene, suppresses epithelial-to-mesenchymal transition and tumor growthEun Ju Kim, Jeong Seon Kim, Sieun Lee, et al.
Emergencias : Revista De La Sociedad Espanola De Medicina De Emergencias|February 3, 2025
Scale to predict risk for refractory septic shock based on a hybrid approach using machine learning and regression modelingSejin Heo, Daun Jeong, Minyoung Choi, et al.
Pageof 3