Chan-Yong Park

ORCID: 0000-0001-5880-9695
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About
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Research Areas
  • Biosensors and Analytical Detection
  • Korean Urban and Social Studies
  • Ovarian cancer diagnosis and treatment
  • Photonic and Optical Devices
  • High voltage insulation and dielectric phenomena
  • Advanced Optical Sensing Technologies
  • Endometrial and Cervical Cancer Treatments
  • Advanced biosensing and bioanalysis techniques
  • Advanced Sensor and Energy Harvesting Materials
  • Advanced Biosensing Techniques and Applications
  • Semiconductor Quantum Structures and Devices
  • Engineering Applied Research
  • Income, Poverty, and Inequality
  • Soft Robotics and Applications
  • Optical Coatings and Gratings
  • Power Transformer Diagnostics and Insulation
  • Advanced Semiconductor Detectors and Materials
  • Healthcare Technology and Patient Monitoring
  • Advanced Fiber Optic Sensors
  • Prosthetics and Rehabilitation Robotics
  • Hydraulic and Pneumatic Systems
  • Advanced Image Processing Techniques
  • Context-Aware Activity Recognition Systems
  • Tactile and Sensory Interactions
  • Wireless Body Area Networks

Sungkyunkwan University
2015-2024

Seoul National University
2024

Chung-Ang University
2021-2022

Korea Institute of Machinery and Materials
2021

Gachon University
2006-2020

Wonkwang University
2020

Korea Advanced Institute of Science and Technology
2018-2019

Korea Telecom (South Korea)
2017-2018

Suwon Research Institute
2018

Korea Research Institute of Chemical Technology
2015-2017

Traditional monoclonal antibodies such as Trastuzumab encounter limitations when treating Human Epidermal Growth Factor Receptor 2 (HER2)-positive breast cancer, particularly in cases that develop resistance. This study introduces plant-derived anti-HER2 variable fragments of camelid heavy chain domain (VHH) fragment crystallizable region (Fc) KEDL(K) antibody a potent alternative for overcoming these limitations. A variety biophysical techniques, vitro assays, and vivo experiments uncover...

10.1021/acsnano.4c00360 article EN cc-by ACS Nano 2024-05-20

Paper-based microfluidic analytical devices (μPADs) have recently attracted attention as a point-of-care test kit because of their low cost and nonrequirement for external forces. To directly detect biomarkers in whole blood, however, they need to be assembled with filter such plasma separation membrane (PSM) the color blood cells interferes colorimetric assay. However, this assembly process is rather complicated cumbersome, fluid does not uniformly move detection zone when adhesion between...

10.1021/acsami.9b13644 article EN ACS Applied Materials & Interfaces 2019-09-12

Recently, much effort has been focused on developing three-dimensional, paper-based microfluidic analytical devices (3D-μPADs) targeting<italic>in vitro</italic>diagnostics.

10.1039/c8lc00367j article EN Lab on a Chip 2018-01-01

Paper-based microfluidic analysis devices (μPADs) have attracted attention as a cost-effective platform for point-of-care testing (POCT), food safety, and environmental monitoring. Recently, three-dimensional (3D)-μPADs been developed to improve the performance of μPADs. For accurate diagnosis diseases, however, 3D-μPADs need be simultaneously detect multiple biomarkers. Here, we report detection biomarkers that can analyzed diagnosed with smartphone. The were fabricated using 3D digital...

10.3390/bios10110187 article EN cc-by Biosensors 2020-11-21

Purpose: With increasing survival rates of women with cervical cancer, quality life the survivors becomes a more important issue. However, little is known about mental health cancer (CCSs). This study investigated prevalence anxiety and depression in CCSs compared healthy controls identified factors associated multidimensional model including sociodemographic, clinical, functioning well-being, symptom variables. Methods: The participants included 828 (mean time since treatment, 6.9 years)...

10.1111/igc.0b013e3181e4a704 article EN cc-by-nc-nd International Journal of Gynecological Cancer 2010-07-01

New chemotherapeutic agents with novel mechanisms of action are urgently required to combat the challenge imposed by emergence drug-resistant mycobacteria. In this study, a phenotypic whole-cell screen identified 5-nitro-1,10-phenanthroline (5NP) as lead compound. 5NP-resistant isolates harbored mutations that were mapped fbiB and also resistant bicyclic nitroimidazole PA-824. Mechanistic studies confirmed 5NP is activated in an F420-dependent manner, resulting formation 1,10-phenanthroline...

10.1128/aac.00969-17 article EN Antimicrobial Agents and Chemotherapy 2017-09-12

Abstract Healable conductive materials have received considerable attention. However, their practical applications are impeded by low electrical conductivity and irreversible degradation after breaking/healing cycles. Here we report a highly completely reversible electron tunneling-assisted percolation network of silver nanosatellite particles for putty-like moldable healable nanocomposites. The densely uniformly distributed with bimodal size distribution generated the radical reactive...

10.1038/s41467-020-15709-8 article EN cc-by Nature Communications 2020-05-07

This paper presents a low-light video restoration algorithm using similar patches among temporally adjacent frames. The proposed artifact-free consists of three steps: 1) brightness enhancement frames and adaptive accumulation; 2) improved color assignment to reduce distortion; 3) image fusion for saturation reduction the guide map. step guarantees not produce any undesired artifacts because searching most given set steps enable fully automatic preservation average control. Experimental...

10.1109/tie.2017.2682034 article EN IEEE Transactions on Industrial Electronics 2017-03-15

Twisted-coiled polymer actuators (TCA) have many interesting properties that show potentials for making high performance bionic devices. This letter presents a long short term memory (LSTM) model to predict the behavior of an antagonistic joint driven by hybrid TCA bundles made from Spandex and nylon fibers. By using automatic differentiation, which can be done with PyTorch, linearized discrete state space formulated then utilized in predictive control (MPC). The experimental results...

10.1109/lra.2021.3068905 article EN IEEE Robotics and Automation Letters 2021-03-25

As transformed to aging society, many personal devices for healthcare have recently been developed. According the increase of individual development health devices, ISO/IEEE 11073 PHD standard is established gathering measurement data. But existing are not standardized. In this paper, we propose implementation model standardization legacy which do follow standard. We develop universal Adapter (UPA) and UPA interface board (non-PHD) device home service. Using system, communicate with manager...

10.1109/icce.2011.5722731 article EN 2023 IEEE International Conference on Consumer Electronics (ICCE) 2011-01-01

As the number of seniors with chronic disease increases, need home healthcare settop-box is increased to manage their in environment. Using settop-box, patients can regularly check health data, and finally, it lead decrease medical expenses. For most important factor standard compatibility, which interoperate devices any other companies. In this paper, we propose a using ISO/IEEE 11073 PHD standard. It collects data according standard, provides chronic-care service based on collected data....

10.1109/iembs.2010.5627845 article EN 2010-08-01

Circulating tumor cells (CTCs) are an indicator of metastatic progression and relapse. Since non-CTC such as red blood outnumber CTCs in the blood, separation enrichment is key to improving their detection sensitivity. The ATP luminescence assay can measure intracellular detect quickly but has not yet been used for CTC because extracellular derived from non-CTCs, interferes with measurement. Herein, we report on improvement by separating concentrating using a 3D printed immunomagnetic...

10.3390/bios11080278 article EN cc-by Biosensors 2021-08-17

Emotion classification has been remarkable studies in recent years. However, most of works do not consider the context information such as a flow emotions. In this paper, we propose emotion dialogue based on semi-supervised word-level embedding. For embedding, use NRC Lexicon which is list English words and their associations with eight basic By adding vectors, obtain an utterance-level vector. We train single layer LSTM-based network dialogue. Also, will evaluate our model EmotionLines...

10.1109/bigcomp.2019.8679196 article EN 2019-02-01
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