Seoul National University · 材料科学
Professor Hwan Kim's research lab specializes in biomaterials and tissue engineering, focusing on developing advanced scaffolds that mimic the extracellular matrix to guide tissue regeneration. The lab explores biomimetic strategies for bone and cartilage repair, emphasizing the use of functionalized hydrogels, chondroitin sulfate, and calcium phosphate nanoparticles to create osteoinductive and chondroinductive microenvironments. Key innovations include photopolymerizable hydrogels with bioactive molecules, stimuli-responsive materials for wound healing, and composite scaffolds that recapitulate endochondral ossification for bone regeneration.
Figures are computed from collected data and may differ slightly.
Various strategies have been explored to overcome critically sized bone defects via bone tissue engineering approaches that incorporate biomimetic scaffolds. Biomimetic scaffolds may provide a novel platform for phenotypically stable tissue formation and stem cell differentiation. In recent years, osteoinductive and inorganic biomimetic scaffold materials have been optimized to offer an osteo-friendly microenvironment for the osteogenic commitment of stem cells. Furthermore, scaffold structures
Chondroitin sulfate (CS) is the major component of glycosaminoglycan in connective tissue. In this study, we fabricated methacrylated PEGDA/CS-based hydrogels with varying CS concentration (0, 1, 5, and 10%) and investigated them as biomineralizing three-dimensional scaffolds for charged ion binding and depositions. Due to its negative charge from the sulfate group, CS exhibited an osteogenically favorable microenvironment by binding charged ions such as calcium and phosphate. Particularly, ion
Graphs are used widely to model complex systems, and detecting anomalies in a graph is an important task in the analysis of complex systems. Graph anomalies are patterns in a graph that do not conform to normal patterns expected of the attributes and/or structures of the graph. In recent years, graph neural networks (GNNs) have been studied extensively and have successfully performed difficult machine learning tasks in node classification, link prediction, and graph classification thanks to the
Articular cartilage damage is a persistent and increasing problem with the aging population. Strategies to achieve complete repair or functional restoration remain a challenge. Photopolymerizing-based hydrogels have long received an attention in the cartilage tissue engineering, due to their unique bioactivities, flexible method of synthesis, range of constituents, and desirable physical characteristics. In the present study, we have introduced unique bioactivity within the photopolymerizing-bas
Wound healing is a critical process that facilitates the body's recovery from injuries and helps prevent infections, thereby maintaining overall tissue and organ functionality. However, delayed wound healing owing to various factors can lead to bacterial infections and secondary complications. In this study, a ciprofloxacin (CIP)-loaded MXene/sodium alginate (SA) hydrogel was fabricated to inhibit bacterial infections and enhance wound healing. The hydrogel was formulated in a sprayable state by
Articular cartilage has a very limited regeneration capacity. Therefore, injury or degeneration of articular cartilage results in an inferior mechanical stability, load-bearing capacity, and lubrication capability. Here, we developed a biomimetic scaffold consisting of macroporous polyvinyl alcohol (PVA) sponges as a platform material for the incorporation of cell-embedded photocrosslinkable poly(ethylene glycol) diacrylate (PEGDA), PEGDA-methacrylated chondroitin sulfate (PEGDA-MeCS; PCS), or P
Regeneration of large bones remains a challenge in surgery. Recent developmental engineering efforts aim to recapitulate endochondral ossification (EO), a critical step in bone formation. However, this process entails the condensation of mesenchymal stem cells (MSCs) into cartilaginous templates, which requires long-term cultures and is challenging to scale up. Here, a biomimetic scaffold is developed that allows rapid and self-sustained EO without initial hypertrophic chondrogenesis. The design
Graphene oxide (GO) is considered a comparatively recent biomaterial with enormous potential because of its nontoxicity, high dispersity, and enhanced interaction with biomolecules. These characteristics of GO can promote the interactions between the substrates and cell surfaces. In this study, we incorporated GO in a cryogel-based scaffold system to observe their influence on the osteogenic responses of human tonsil-derived mesenchymal stem cells (hTMSCs). Compared to polyethylene glycol (PEG)-
Since smart phones adopted touchscreen, users have been enjoying large displays. However, when using soft keyboard, the available size of the display becomes less than 50%. In this paper Back Keyboard, a physical keyboard installed backside of mobile phone, is presented. Also the design process with a prototype through a series of studies is described. User evaluation was conducted with the prototype; the average text entry rate was 15.3 WPM (SD: 3.6) and the error rate was 12.2% (SD: 9.0) after
Hwan D. Kim and co-workers describe bone tissue engineering strategies based on biomimetic materials. In particular, latest findings on the role of biomimetic inorganic materials for phenotypically stable bone tissue formation and osteogenic differentiation are presented in article number 1700612. Furthermore, fabricated scaffold designs and compositions that provide an osteo-friendly environment for the osteogenic commitment of stem cells are important for successful bone tissue regeneration. T
Non-Intrusive Load Monitoring (NILM) techniques are effective for managing energy and for addressing imbalances between the energy demand and supply. Various studies based on deep learning have reported the classification of appliances from aggregated power signals. In this paper, we propose a novel approach called a temporal bar graph, which patternizes the operational status of the appliances and time in order to extract the inherent features from the aggregated power signals for efficient loa
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