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JAMIA Open
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June 18, 2021
Comparative effectiveness of medical concept embedding for feature engineering in phenotyping
Junghwan Lee, Cong Liu, Jae Hyun Kim, et al.
Cell & Bioscience
|
August 30, 2023
Impaired mitophagy induces antimicrobial responses in macrophages infected with Mycobacterium tuberculosis
Junghwan Lee, Seong-Ahn Lee, Sang-Hun Son, et al.
FASEB Journal : Official Publication of the Federation of American Societies for Experimental Biology
|
February 27, 2018
TNF-α-mediated ER stress causes elimination of Mycobacterium fortuitum reservoirs by macrophage apoptosis
Sung-Man Oh, Yun-Ji Lim, Ji-Ae Choi, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)
|
January 19, 2023
Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning
Junghwan Lee, Tingyi Wanyan, Qingyu Chen, et al.
JMIR Public Health and Surveillance
|
April 29, 2022
Risk Factors Associated With SARS-CoV-2 Breakthrough Infections in Fully mRNA-Vaccinated Individuals: Retrospective Analysis
Cong Liu, Junghwan Lee, Casey Ta, et al.
Scientific Reports
|
March 13, 2019
Characterisation of genes differentially expressed in macrophages by virulent and attenuated Mycobacterium tuberculosis through RNA-Seq analysis
Junghwan Lee, Sung-Gwon Lee, Kee K Kim, et al.
Journal of Biotechnology
|
September 10, 2013
Wafer-scale nanowell array patterning based electrochemical impedimetric immunosensor
JuKyung Lee, SiHyeong Cho, JungHwan Lee, et al.
Apoptosis : an International Journal on Programmed Cell Death
|
November 29, 2019
Correction to: M1 macrophage dependent-p53 regulates the intracellular survival of mycobacteria
Yun-Ji Lim, Junghwan Lee, Ji-Ae Choi, et al.
JAMIA Open
|
June 6, 2022
A machine learning approach to identifying delirium from electronic health records
Jae Hyun Kim, May Hua, Robert A Whittington, et al.
Cells
|
September 28, 2021
Ang II-Induced Hypertension Exacerbates the Pathogenesis of Tuberculosis
Soo-Na Cho, Ji-Ae Choi, Junghwan Lee, et al.
Page
of 7
Search research articles
Search
Showing results (41-50 of 69) with videos related to
Sort By:
Page
of 7
JAMIA Open
|
June 18, 2021
Comparative effectiveness of medical concept embedding for feature engineering in phenotyping
Junghwan Lee, Cong Liu, Jae Hyun Kim, et al.
Cell & Bioscience
|
August 30, 2023
Impaired mitophagy induces antimicrobial responses in macrophages infected with Mycobacterium tuberculosis
Junghwan Lee, Seong-Ahn Lee, Sang-Hun Son, et al.
FASEB Journal : Official Publication of the Federation of American Societies for Experimental Biology
|
February 27, 2018
TNF-α-mediated ER stress causes elimination of Mycobacterium fortuitum reservoirs by macrophage apoptosis
Sung-Man Oh, Yun-Ji Lim, Ji-Ae Choi, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)
|
January 19, 2023
Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning
Junghwan Lee, Tingyi Wanyan, Qingyu Chen, et al.
JMIR Public Health and Surveillance
|
April 29, 2022
Risk Factors Associated With SARS-CoV-2 Breakthrough Infections in Fully mRNA-Vaccinated Individuals: Retrospective Analysis
Cong Liu, Junghwan Lee, Casey Ta, et al.
Scientific Reports
|
March 13, 2019
Characterisation of genes differentially expressed in macrophages by virulent and attenuated Mycobacterium tuberculosis through RNA-Seq analysis
Junghwan Lee, Sung-Gwon Lee, Kee K Kim, et al.
Journal of Biotechnology
|
September 10, 2013
Wafer-scale nanowell array patterning based electrochemical impedimetric immunosensor
JuKyung Lee, SiHyeong Cho, JungHwan Lee, et al.
Apoptosis : an International Journal on Programmed Cell Death
|
November 29, 2019
Correction to: M1 macrophage dependent-p53 regulates the intracellular survival of mycobacteria
Yun-Ji Lim, Junghwan Lee, Ji-Ae Choi, et al.
JAMIA Open
|
June 6, 2022
A machine learning approach to identifying delirium from electronic health records
Jae Hyun Kim, May Hua, Robert A Whittington, et al.
Cells
|
September 28, 2021
Ang II-Induced Hypertension Exacerbates the Pathogenesis of Tuberculosis
Soo-Na Cho, Ji-Ae Choi, Junghwan Lee, et al.
Page
of 7