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ACS Applied Materials & Interfaces|August 3, 2023
Reducing Bonding Temperature and Energy Consumption in Electronic Packaging Using Flash Electro-Thermal Carbon Fiber Heating ElementsSeong Yeon Park, Seung Yoon On, Junmo Kim, et al.
Communications Medicine|June 13, 2025
Pretrained patient trajectories for adverse drug event prediction using common data model-based electronic health recordsJunmo Kim, Joo Seong Kim, Ji-Hyang Lee, et al.
Proceedings of the National Academy of Sciences of the United States of America|July 10, 2013
Modulation of natural killer cell antitumor activity by the aryl hydrocarbon receptorJune Ho Shin, Luhua Zhang, Oihana Murillo-Sauca, et al.
Digital Health|January 22, 2025
Prediction of reduced left ventricular ejection fraction using atrial fibrillation or flutter electrocardiograms: A machine-learning studySoonil Kwon, SooMin Chung, So-Ryoung Lee, et al.
Child Abuse & Neglect|December 23, 2019
Cluster analysis of child homicide in South KoreaKyuHee Jung, Heesong Kim, Eunsaem Lee, et al.
Emerging Infectious Diseases|August 30, 2021
Fatal Systemic Capillary Leak Syndrome after SARS-CoV-2Vaccination in Patient with Multiple MyelomaGwang-Jun Choi, Seon Ha Baek, Junmo Kim, et al.
Science Advances|June 1, 2022
Geometrically engineered rigid island array for stretchable electronics capable of withstanding various deformation modesJun Chang Yang, Seungkyu Lee, Boo Soo Ma, et al.
Eclinicalmedicine|February 9, 2024
Deep learning-based long-term risk evaluation of incident type 2 diabetes using electrocardiogram in a non-diabetic population: a retrospective, multicentre studyJunmo Kim, Hyun-Lim Yang, Su Hwan Kim, et al.
NPJ Digital Medicine|March 3, 2026
Prediction of antibiotic-associated cutaneous adverse drug reactions using electronic health record foundation modelsJunmo Kim, Kyunghoon Kim, Jeong-Eun Yun, et al.
Biomed Research International|May 30, 2023
Real-Time Evaluation of Cerebral Autoregulation Based on Near-Infrared Spectroscopy to Predict Clinical Outcome after Bypass Surgery in Moyamoya DiseaseJunmo Kim, Eun-Jin Ha, Hee-Soo Kim, et al.
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