Jahyun Nam

ORCID: 0000-0003-4865-6087
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Research Areas
  • Graphene and Nanomaterials Applications
  • Electrochemical sensors and biosensors
  • Bacterial biofilms and quorum sensing
  • Advanced biosensing and bioanalysis techniques
  • Advanced machining processes and optimization
  • Analytical Chemistry and Chromatography
  • Supramolecular Self-Assembly in Materials
  • Polymer Surface Interaction Studies
  • Artificial Intelligence in Healthcare and Education
  • Tribology and Lubrication Engineering
  • Monoclonal and Polyclonal Antibodies Research
  • Pickering emulsions and particle stabilization
  • Advanced Drug Delivery Systems
  • Biomedical Text Mining and Ontologies
  • Radiomics and Machine Learning in Medical Imaging
  • Explainable Artificial Intelligence (XAI)
  • Conducting polymers and applications
  • Metal Alloys Wear and Properties
  • Membrane Separation Technologies
  • Innovative Microfluidic and Catalytic Techniques Innovation
  • Bacteriophages and microbial interactions
  • Biochemical and Structural Characterization
  • Chemical Synthesis and Analysis
  • Machine Learning in Healthcare
  • Advanced Nanomaterials in Catalysis

Korea University
2018-2021

Acylase (AC) was immobilized and stabilized on carboxylated polyaniline nanofibers (cPANFs) for the development of antifouling nanobiocatalysts with high enzyme loading stability. AC via three different approaches: covalent attachment (CA), coating (EC), magnetically separable precipitate (Mag-EPC). The activity per unit weight cPANFs Mag-EPC 75 300 times higher than that those CA EC, respectively, representing improved in form Mag-EPC. After incubation under shaking at 200 rpm 20 days,...

10.1021/acsami.7b01528 article EN ACS Applied Materials & Interfaces 2017-04-17

Broad-spectrum antibiotics indiscriminately kill bacteria, removing nonpathogenic microorganisms and leading to evolution of antibiotic resistant strains. Specific antimicrobials that could selectively pathogenic bacteria without targeting other in the natural microbial community or microbiome may be able address this concern. In work, we demonstrate silver nanoparticles, suitably conjugated a selective cell wall binding domain (CBD), can efficiently target bacteria. As relevant example,...

10.1021/acsami.8b00181 article EN ACS Applied Materials & Interfaces 2018-04-05

Highly effective and minimally toxic antimicrobial agents have been prepared by immobilizing glucose oxidase (GOx) onto biocompatible chitosan nanoparticles (CS-NPs). CS-NPs were via ionotropic gelation used for the immobilization of GOx approaches covalent attachment (CA), enzyme coating (EC), precipitate (EPC), magnetic nanoparticle-incorporated EPC (Mag-EPC). represents an approach consisting attachment, precipitation, cross-linking, with CA EC being control samples while Mag-EPC was...

10.1021/acs.biomac.9b00152 article EN Biomacromolecules 2019-05-16

Lytic enzymes have been considered as potential alternatives to antibiotics. These enzymes, particularly those that target Gram-positive bacteria, consist of modular cell wall-binding and catalytic domains, which can be shuffled with other lytic produce unnatural chimeric enzymes. In this work, we report the in vitro shuffling two different domains using a protein self-assembly methodology. Catalytic (CD) (BD) from bacteriocin lysostaphin (Lst) putative autolysin Staphylococcus aureus (SA1),...

10.1021/acs.biomac.9b01134 article EN Biomacromolecules 2019-09-16

Patient information in free text form exists medical systems. Before the successes of natural language processing models, it had costed resources to refine unstructured into neat formats for training artificial intelligence models. Here, we applied bidirectional encoder representations from transformer (BERT) classifier analyze clinical on diagnosis recurrent papillary thyroid cancer (PTC). It showed a performance 98.8% binary classification PTC recurrence.

10.1109/icce56470.2023.10043578 article EN 2023 IEEE International Conference on Consumer Electronics (ICCE) 2023-01-06

This study proposes a medical data analysis tool using Chat Generative Pre-trained Transformer (ChatGPT), natural language processing model (NLP), to directly communicate with for various analyses. The recommends optimal AI models in terms of accuracy and efficiency Shapley Additive explanation (SHAP) showed average accuracies 90.6% 82% the stages, respectively. proposed method potential chatGPT revolutionize analysis.

10.1109/icufn57995.2023.10200095 article EN 2023-07-04

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10.2139/ssrn.4785596 preprint EN 2024-01-01

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

10.2139/ssrn.4785597 preprint EN 2024-01-01
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