1.Development of Hydrogel Sun Patch with Wound Healing Efficacy
Da-Ye NAM ; Jin WOO ; Youngtae KIM ; JungHoon CHAE ; Young-Shin LEE ; Ji-Youl JUNG
Journal of Wound Management and Research 2025;21(1):10-17
Background:
This study focuses on the development of a hydrogel wound patch incorporating natural extracts, designed to function as a sun patch. By maintaining a moist environment and delivering bioactive compounds, the patch promotes wound healing while also providing cooling and ultraviolet (UV) protection. This dual-purpose approach enhances skin recovery and shields damaged areas from external stressors. The study aims to optimize the formulation and evaluate its efficacy for both therapeutic and cosmetic applications.
Methods:
Hydrogel solutions prepared using acrylamide, glycerol, and carboxymethyl cellulose were enriched with extracts from Saururus chinensis, Styrax japonicus, and Centella asiatica. The enriched solutions were processed into patches and tested for their adhesion, cooling effects, and UV protective abilities. Additionally, the wound healing efficacy was evaluated in a mouse model.
Results:
The hydrogel patches demonstrated comparable adhesion properties, effective skin cooling, and high UV protection rates similar to those of commercially available products. In the mouse model, the patches significantly improved wound closure and tissue regeneration in the experimental group as compared to the control group.
Conclusion
The study confirms that hydrogel sun patches enriched with natural extracts have the ability to effectively promote wound healing and offer substantial UV protection and cooling benefits, demonstrating their potential medical and cosmetic applications.
2.Evaluation of Silicone-Based Gel for the Treatment of Hypertrophic Scarring in Rat Models
So-Jeong YIM ; Da-Ye NAM ; Da-Hye CHOI ; Jin WOO ; Youngtae KIM ; JungHoon CHAE ; Young-Shin LEE ; Ji-Youl JUNG
Journal of Wound Management and Research 2024;20(2):122-127
Background:
Hypertrophic scarring represents an aberrant response to wounds in certain individuals, manifesting with symptoms such as itching, tenderness, pain, and pigmentation. This study aimed to investigate the impact of a silicone-based gel on the healing of hypertrophic scars, particularly those originating from deep tissue wounds.
Methods:
A rat model of wound healing and scarring was established, and 12 rats were randomly assigned to three groups: Dermatix Ultra group, SFG-100 silicone-gel group, and non-treated group. Rats in the treated groups (Dermatix Ultra and SFG-100 silicone-gel) received twice-daily applications for 8 weeks. Histologic analysis, including biopsy, was conducted to evaluate the scar elevation index, epidermis thickness, and the number of granulation veins.
Results:
Overall, both the Dermatix Ultra and SFG-100 silicone-gel groups exhibited improvements in hypertrophic scar healing, accompanied by a significant reduction in skin pigmentation. Histopathologically, scars in both treated groups displayed a notable decrease in scar elevation index, epithelial thickness, and collagen disorganization compared to the non-treated group. However, no significant difference was observed between the Dermatix Ultra and SFG-100 silicone-gel groups.
Conclusion
The results suggest that SFG-100 silicone-gel is an effective therapeutic agent for hypertrophic scars. Further research is warranted to elucidate the mechanisms underlying its efficacy and to optimize its application for clinical use.
3.Organizing an in-class hackathon to correct PDF-to-text conversion errors of Genomics & Informatics 1.0
Sunho KIM ; Royoung KIM ; Ryeo-Gyeong KIM ; Enjin KO ; Han-Su KIM ; Jihye SHIN ; Daeun CHO ; Yurhee JIN ; Soyeon BAE ; Ye Won JO ; San Ah JEONG ; Yena KIM ; Seoyeon AHN ; Bomi JANG ; Jiheyon SEONG ; Yujin LEE ; Si Eun SEO ; Yujin KIM ; Ha-Jeong KIM ; Hyeji KIM ; Hye-Lynn SUNG ; Hyoyoung LHO ; Jaywon KOO ; Jion CHU ; Juwon LIM ; Youngju KIM ; Kyungyeon LEE ; Yuri LIM ; Meongeun KIM ; Seonjeong HWANG ; Shinhye HAN ; Sohyeun BAE ; Sua KIM ; Suhyeon YOO ; Yeonjeong SEO ; Yerim SHIN ; Yonsoo KIM ; You-Jung KO ; Jihee BAEK ; Hyejin HYUN ; Hyemin CHOI ; Ji-Hye OH ; Da-Young KIM ; Hee-Jo NAM ; Hyun-Seok PARK
Genomics & Informatics 2020;18(3):e33-
This paper describes a community effort to improve earlier versions of the full-text corpus of Genomics & Informatics by semi-automatically detecting and correcting PDF-to-text conversion errors and optical character recognition errors during the first hackathon of Genomics & Informatics Annotation Hackathon (GIAH) event. Extracting text from multi-column biomedical documents such as Genomics & Informatics is known to be notoriously difficult. The hackathon was piloted as part of a coding competition of the ELTEC College of Engineering at Ewha Womans University in order to enable researchers and students to create or annotate their own versions of the Genomics & Informatics corpus, to gain and create knowledge about corpus linguistics, and simultaneously to acquire tangible and transferable skills. The proposed projects during the hackathon harness an internal database containing different versions of the corpus and annotations.
4.Organizing an in-class hackathon to correct PDF-to-text conversion errors of Genomics & Informatics 1.0
Sunho KIM ; Royoung KIM ; Ryeo-Gyeong KIM ; Enjin KO ; Han-Su KIM ; Jihye SHIN ; Daeun CHO ; Yurhee JIN ; Soyeon BAE ; Ye Won JO ; San Ah JEONG ; Yena KIM ; Seoyeon AHN ; Bomi JANG ; Jiheyon SEONG ; Yujin LEE ; Si Eun SEO ; Yujin KIM ; Ha-Jeong KIM ; Hyeji KIM ; Hye-Lynn SUNG ; Hyoyoung LHO ; Jaywon KOO ; Jion CHU ; Juwon LIM ; Youngju KIM ; Kyungyeon LEE ; Yuri LIM ; Meongeun KIM ; Seonjeong HWANG ; Shinhye HAN ; Sohyeun BAE ; Sua KIM ; Suhyeon YOO ; Yeonjeong SEO ; Yerim SHIN ; Yonsoo KIM ; You-Jung KO ; Jihee BAEK ; Hyejin HYUN ; Hyemin CHOI ; Ji-Hye OH ; Da-Young KIM ; Hee-Jo NAM ; Hyun-Seok PARK
Genomics & Informatics 2020;18(3):e33-
This paper describes a community effort to improve earlier versions of the full-text corpus of Genomics & Informatics by semi-automatically detecting and correcting PDF-to-text conversion errors and optical character recognition errors during the first hackathon of Genomics & Informatics Annotation Hackathon (GIAH) event. Extracting text from multi-column biomedical documents such as Genomics & Informatics is known to be notoriously difficult. The hackathon was piloted as part of a coding competition of the ELTEC College of Engineering at Ewha Womans University in order to enable researchers and students to create or annotate their own versions of the Genomics & Informatics corpus, to gain and create knowledge about corpus linguistics, and simultaneously to acquire tangible and transferable skills. The proposed projects during the hackathon harness an internal database containing different versions of the corpus and annotations.