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Junsang Yoo

Showing results (11-20 of 55) with videos related to

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Biomaterials|July 6, 2014
Cell reprogramming into the pluripotent state using graphene based substratesJunsang Yoo, Jongmin Kim, Soonbong Baek, et al.
Biochemical and Biophysical Research Communications|July 19, 2018
Salusin-β mediate neuroprotective effects for Parkinson's diseaseYujung Chang, Junsang Yoo, Hongwon Kim, et al.
Biomaterials|February 10, 2015
Nanogrooved substrate promotes direct lineage reprogramming of fibroblasts to functional induced dopaminergic neuronsJunsang Yoo, Myungkyung Noh, Hongnam Kim, et al.
Scientific Reports|March 2, 2026
Multimodal AI-based 28-day mortality prediction of pneumonia patients at ED discharge: a multicenter studySunjin Hwang, Sejin Heo, Sungjun Hong, et al.
JMIR Medical Informatics|January 19, 2022
Correction: Candidemia Risk Prediction (CanDETEC) Model for Patients With Malignancy: Model Development and Validation in a Single-Center Retrospective StudyJunsang Yoo, Si-Ho Kim, Sujeong Hur, et al.
JMIR Medical Informatics|July 26, 2021
Candidemia Risk Prediction (CanDETEC) Model for Patients With Malignancy: Model Development and Validation in a Single-Center Retrospective StudyJunsang Yoo, Si-Ho Kim, Sujeong Hur, et al.
JMIR Medical Informatics|July 26, 2021
A Machine Learning-Based Algorithm for the Prediction of Intensive Care Unit Delirium (PRIDE): Retrospective StudySujeong Hur, Ryoung-Eun Ko, Junsang Yoo, et al.
JMIR Mhealth and Uhealth|November 24, 2018
Experience of Emergency Department Patients With Using the Talking Pole Device: Prospective Interventional Descriptive StudyJunsang Yoo, Ji Yeong Soh, Wan Hyoung Lee, et al.
Biomaterials|October 3, 2021
Electromagnetized gold nanoparticles improve neurogenesis and cognition in the aged brainYujung Chang, Byounggook Cho, Euiyeon Lee, et al.
Journal of Medical Internet Research|August 12, 2021
Development and Validation of Unplanned Extubation Prediction Models Using Intensive Care Unit Data: Retrospective, Comparative, Machine Learning StudySujeong Hur, Ji Young Min, Junsang Yoo, et al.
Pageof 6

Showing results (11-20 of 55) with videos related to

Sort By:
Pageof 6
Biomaterials|July 6, 2014
Cell reprogramming into the pluripotent state using graphene based substratesJunsang Yoo, Jongmin Kim, Soonbong Baek, et al.
Biochemical and Biophysical Research Communications|July 19, 2018
Salusin-β mediate neuroprotective effects for Parkinson's diseaseYujung Chang, Junsang Yoo, Hongwon Kim, et al.
Biomaterials|February 10, 2015
Nanogrooved substrate promotes direct lineage reprogramming of fibroblasts to functional induced dopaminergic neuronsJunsang Yoo, Myungkyung Noh, Hongnam Kim, et al.
Scientific Reports|March 2, 2026
Multimodal AI-based 28-day mortality prediction of pneumonia patients at ED discharge: a multicenter studySunjin Hwang, Sejin Heo, Sungjun Hong, et al.
JMIR Medical Informatics|January 19, 2022
Correction: Candidemia Risk Prediction (CanDETEC) Model for Patients With Malignancy: Model Development and Validation in a Single-Center Retrospective StudyJunsang Yoo, Si-Ho Kim, Sujeong Hur, et al.
JMIR Medical Informatics|July 26, 2021
Candidemia Risk Prediction (CanDETEC) Model for Patients With Malignancy: Model Development and Validation in a Single-Center Retrospective StudyJunsang Yoo, Si-Ho Kim, Sujeong Hur, et al.
JMIR Medical Informatics|July 26, 2021
A Machine Learning-Based Algorithm for the Prediction of Intensive Care Unit Delirium (PRIDE): Retrospective StudySujeong Hur, Ryoung-Eun Ko, Junsang Yoo, et al.
JMIR Mhealth and Uhealth|November 24, 2018
Experience of Emergency Department Patients With Using the Talking Pole Device: Prospective Interventional Descriptive StudyJunsang Yoo, Ji Yeong Soh, Wan Hyoung Lee, et al.
Biomaterials|October 3, 2021
Electromagnetized gold nanoparticles improve neurogenesis and cognition in the aged brainYujung Chang, Byounggook Cho, Euiyeon Lee, et al.
Journal of Medical Internet Research|August 12, 2021
Development and Validation of Unplanned Extubation Prediction Models Using Intensive Care Unit Data: Retrospective, Comparative, Machine Learning StudySujeong Hur, Ji Young Min, Junsang Yoo, et al.
Pageof 6