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  1. No Access

    Article

    Optimized combination of Cervus nippon (Sika deer), Angelica (Dangui), and Rehmannia (Suk-jihwang) mitigates LPS-induced inflammation: exploring signaling pathways through plasma metabolomics

    This study aimed to determine the optimal combination of three anti-inflammatory materials [i.e., Cervus nippon Temminck (CT), Angelica gigas Nakai (AN), and Rehmannia glutinosa (RG)] for the strongest anti-infla...

    Jeong Hoon Pan, Min Kook Lee, Moon Han Chang in Food Science and Biotechnology (2024)

  2. Article

    Open Access

    p53 activation enhances the sensitivity of non-small cell lung cancer to the combination of SH003 and docetaxel by inhibiting de novo pyrimidine synthesis

    Identifying molecular biomarkers for predicting responses to anti-cancer drugs can enhance treatment precision and minimize side effects. This study investigated the novel cancer-targeting mechanism of combini...

    Yu-Jeong Choi, Kangwook Lee, Seo Yeon Lee, Youngbin Kwon in Cancer Cell International (2024)

  3. Article

    Open Access

    Network pharmacology study to explore the multiple molecular mechanism of SH003 in the treatment of non-small cell lung cancer

    Non-small cell lung cancer (NSCLC) is one of the leading causes of human death worldwide. Herbal prescription SH003 has been developed to treat several cancers including NSCLC. Due to the multi-component natur...

    Kangwook Lee, Yu-Jeong Choi, Hae-In Lim in BMC Complementary Medicine and Therapies (2024)

  4. No Access

    Article

    Predicting vehicle collisions using data collected from video games

    Training a deep learning model for identifying dangerous vehicles requires a large amount of labeled accident data. However, it is difficult to collect a sufficient amount of accident data in the real world. T...

    Hoon Kim, Kangwook Lee, Gyeongjo Hwang, Changho Suh in Machine Vision and Applications (2021)

  5. No Access

    Chapter and Conference Paper

    Reprogramming GANs via Input Noise Design

    The goal of neural reprogramming is to alter the functionality of a fixed neural network just by preprocessing the input. In this work, we show that Generative Adversarial Networks (GANs) can be reprogrammed b...

    Kangwook Lee, Changho Suh in Machine Learning and Knowledge Discovery i… (2021)

  6. No Access

    Article

    Applying the Deep Learning Method for Simulating Outcomes of Educational Interventions

    Predicting outcomes of educational interventions before investing in large-scale implementation efforts in school settings is essential for educational policy-making. However, due to time and resource limitati...

    Hyemin Han, Kangwook Lee, Firat Soylu in SN Computer Science (2020)

  7. No Access

    Article

    Simulating outcomes of interventions using a multipurpose simulation program based on the evolutionary causal matrices and Markov chain

    Predicting long-term outcomes of interventions is necessary for educational and social policy-making processes that might widely influence our society for the long term. However, performing such predictions ba...

    Hyemin Han, Kangwook Lee, Firat Soylu in Knowledge and Information Systems (2018)

  8. No Access

    Chapter and Conference Paper

    Development of Retinal Prosthesis Module for Fully Implantable Retinal Prosthesis

    To restore visual sensation of blind patients, we have proposed a fully implantable retinal prosthesis comprising an three dimensionally (3D) stacked retinal chip for transforming optical signal to electrical ...

    Kangwook Lee, Tetsu Tanaka in 6th World Congress of Biomechanics (WCB 20… (2010)