• Title/Summary/Keyword: Artificial Skin

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ARL-CNN50 for Skin Lesion Classification (ARL-CNN50 기반 피부병변 분류진단)

  • Zhao, Guangzhi;Hung, Nguyen Tri Chan;Lee, Hyo Jong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.11a
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    • pp.481-483
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    • 2022
  • With the advent of the era of artificial intelligence, more and more fields have begun to use artificial intelligence technology, especially the medical field. Cancer is one of the biggest problems in the medical field. [1] If it can be detected early and treated early, the possibility of cure will be greatly increased. Malignant skin cancer, as one of the types of cancer with the highest fatality rate in recent years has problems such as relying on the experience of doctors and being unable to be detected and detected in time. Therefore, if artificial intelligence technology can be used to help doctors in early detection of skin cancer, or to allow everyone to detect skin lesions or spots anytime, anywhere, it will have great practical significance. In this paper we used attention residual learning convolutional neural network (ARL-CNN) model [2] to classify skin cancer pictures.

Radioprotective effects of dimethyl sulfoxide in the artificial skin reconstructed with cultured human cells (배양된 사람 세포를 이용해 제작한 인공피부에서 방사선조사에 대한 dimethyl sulfoxide의 보호 효과)

  • Ryu Young-Ha;Choi Karp-Shik;Song In-Hwan
    • Imaging Science in Dentistry
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    • v.32 no.1
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    • pp.11-18
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    • 2002
  • Purpose: To evaluate cultured human artificial skin as an experimental model for studying radiation effects in vitro. Materials and Methods: The skin was constructed by culturing keratinocytes over collagen lattice which made by culturing fibroblasts. Two groups were irradiated to gamma rays at single dose of 25 Gy with or without 3.5% of DMSO. Ultrastructures were investigated by electron microscopy after irradiation. The number of epidermal layers and expression of cytokeratin (CK) 14 & 10 were also seem by light microscopy. Results: At 2 days after irradiation in experimental group without DMSO, necrotic cells were rarely found in the spinosal layer and undercornified cells were visible in the homey layer. Similar findings were also found in experimental group with DMSO but in mild form. The number of epidermal layers in experimental group without DMSO were significantly fewer than other group. CK 14 expressed in all the layer excluding homey layer but CK 10 expressed over 3∼4 basal layers. Such patterns of CK expression were similar to all groups. It is suggested that structures of the keratinocytes and epidermal formation could be disturbed by irradiation in artificial skin and that DMSO can protect these damages. Conclusion : Therefore this work could be used as an organotypic experimental model in vitro using human cells for studying radiation effect in skin. Furthermore structural findings provided in this study could be used as useful basic data in further study using this model.

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Development of anti-wrinkle agent with Artificial Skin Culture Broth (DA-3711) (인공피부배양물(DA-3711)을 이용한 주름개선제 개발)

  • Kim Hee Jung;Lee Mi Youn;Ahn Byoung Ok;Lee Jung Hwan;Kim Byung Moon;Lee Sung Hee;Kwon Jong Won;Kim Won Bae
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.30 no.4 s.48
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    • pp.463-470
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    • 2004
  • Artificial skin culture broth (DA-3711) was developed by using Dong-A pharmaceutical's artificial skin culture technique, and it contains plenty of nutrients, natural extracellular matrix proteins and human growth factors, which may improve aged skin conditions. The anti-aging effect of DA-3711 was investigated both in vitro and in vivo. Furthermore the clinical studies showed that DA-3711 had been very effective in improving firmness and reducing wrinkles. The results suggest that the novel anti-wrinkle agent. DA-3711, may have anti-aging and anti-wrinkle effects by stimulating skin regeneration.

Development of Integrated Control Methods for the Heating Device and Surface Openings based on the Performance Tests of the Rule-Based and Artificial-Neural-Network-Based Control Logics (난방시스템 및 개구부의 통합제어를 위한 규칙기반제어법 및 인공신경망기반제어법의 성능비교)

  • Moon, Jin Woo
    • KIEAE Journal
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    • v.14 no.3
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    • pp.97-103
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    • 2014
  • This study aimed at developing integrated logic for controlling heating device and openings of the double skin facade buildings. Two major logics were developed-rule-based control logic and artificial neural network based control logic. The rule based logic represented the widely applied conventional method while the artificial neural network based logic meant the optimal method. Applying the optimal method, the predictive and adaptive controls were feasible for supplying the advanced thermal indoor environment. Comparative performance tests were conducted using the numerical computer simulation tools such as MATLAB (Matrix Laboratory) and TRNSYS (Transient Systems Simulation). Analysis on the test results in the test module revealed that the artificial neural network-based control logics provided more comfortable and stable temperature conditions based on the optimal control of the heating device and opening conditions of the double skin facades. However, the amount of heat supply to the indoor space by the optimal method was increased for the better thermal conditioning. The number of on/off moments of the heating device, on the other hand, was significantly reduced. Therefore, the optimal logic is expected to beneficial to create more comfortable thermal environment and to potentially prevent system degradation.

Guidelines for Manufacturing and Application of Organoids: Skin

  • Seunghee Lee;Yeri Alice Rim;Juryun Kim;Su Hyon Lee;Hye Jung Park;Hyounwoo Kim;Sun-Ju Ahn;Ji Hyeon Ju
    • International Journal of Stem Cells
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    • v.17 no.2
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    • pp.182-193
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    • 2024
  • To address the limitations of animal testing, scientific research is increasingly focused on developing alternative testing methods. These alternative tests utilize cells or tissues derived from animals or humans for in vitro testing, as well as artificial tissues and organoids. In western countries, animal testing for cosmetics has been banned, leading to the adoption of artificial skin for toxicity evaluation, such as skin corrosion and irritation assessments. Standard guidelines for skin organoid technology becomes necessary to ensure consistent data and evaluation in replacing animal testing with in vitro methods. These guidelines encompass aspects such as cell sourcing, culture techniques, quality requirements and assessment, storage and preservation, and organoid-based assays.

Development of Dermal Equivalent Using Mouse Fibroblasts (세포조직배양법을 이용한 쥐 인공피부의 개발)

  • Yang, Eun-Kyoung;Lee, Jae-Ho;Choe, Tae-Boo;Park, Jung-Keug
    • Microbiology and Biotechnology Letters
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    • v.21 no.4
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    • pp.381-391
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    • 1993
  • As the first stage of development of an artificial skin, fibroblasts were cultured in the collagen matrices to make a living dermal equivalent. Mouse embryonic fibroblasts were incorporated into a collagen matrices on plastic dishes containing concentrated DMEM culture media supplemented with sodium bicarbonate, hepes, antibiotics and fetal bovine serum. As the growth stimulation components, glycosaminoglycans were added: hyaluronic acid, chondroitin sulfate, heparin, chitosan were incorporated into the media at a concentration of either 1% or 5% w/w/ to collagen in order to investigate the effect on development of dermal equivalent. After the few days of incubation, gel matrics were contracted and firm dermal equivalent were formed. And the keratinocytes were cultured on top of dermal equivalent and make a three dimensional artificial skin tissue.

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Development of Artificial Skin from Chitosan Derivatives

  • Yong-Don Won;Chang-Kook Lee;Beung-Ho Ryu
    • Journal of Life Science
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    • v.9 no.1
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    • pp.17-21
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    • 1999
  • Chitosan derivitives, a sulfated N-acetylchitosan was synthesized, and artificial skin of sulfated N-acetylchitosan and N-carboxyl butyl chitosan were investigated. Sulfated derivatives of chitosan were analyzed by {TEX}${13}^C${/TEX}-NMR and the structure on N-acetyl chitosan 3,6-O-disulfate were confirmed. Rabbits underwent a midline laparotomy followed either by a bilateral peritoneal sidewall abraison(3.0×1.5cm). The injured surface was then covered with 0.2mm thick sulfated N-acetyl chitosan membrane. Sulfated N-acetyl chitosan membrane was found to reduce postsurgical bleeding after abraison of peritoneal surface treated with sulfated N-acetyl chitosan membrane. Sulfated N-acetyl chitosan implanted rabbit showed quick wound healing than N-carboxybutyl chitosan. With a sterilization procedure of chemical sterilization, sulfated N-acetyl chitosan seem to be better substitutes than N-carboxybutyl chitosan.

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Design of Solid Lipid Nanoparticles to Improve Penetration of Niacinamide through Artificial Skin Tissue (나이아신아마이드의 인공피부조직 투과 개선을 위한 고형지질나노입자의 설계 연구)

  • Yeo, Sooho
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.47 no.2
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    • pp.133-138
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    • 2021
  • In this study, Niacinamide (NI) was loaded into solid lipid nanoparticles (SLNs) and skin permeability was evaluated to improve skin permeability of NI, which was a skin whitening substance. NI was able to effectively load within SLN with a double-melting emulsification method, producing stable particles with average particle sizes of 263.30 to 436.93 nm and a zeta potential of -34.77 to -57.60 mV. Artificial skin tissue (SkinEthicTM RHE) derived from skin keratinocytes derived from human epidermal tissue was used for the skin permeation study of NI. Skin transmittance and deposition experiments of NI confirmed that all SLN formulations improved skin transmittance and deposition rates of NI, approximately 5.4 ~ 7.6 and 9.5 ~ 20.8 improvement over SLN applications. Therefore, SLN manufactured in this study have shown sufficient results to improve the skin permeability of the functional whitening substance, NI.

Application of Artificial Neural Network for Optimum Controls of Windows and Heating Systems of Double-Skinned Buildings (이중외피 건물의 개구부 및 난방설비 제어를 위한 인공지능망의 적용)

  • Moon, Jin-Woo;Kim, Sang-Min;Kim, Soo-Young
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.24 no.8
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    • pp.627-635
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    • 2012
  • This study aims at developing an artificial neural network(ANN)-based predictive and adaptive temperature control method to control the openings at internal and external skins, and heating systems used in a building with double skin envelope. Based on the predicted indoor temperature, the control logic determined opening conditions of air inlets and outlets, and the operation of the heating systems. The optimization process of the initial ANN model was conducted to determine the optimal structure and learning methods followed by the performance tests by the comparison with the actual data measured from the existing double skin envelope. The analysis proved the prediction accuracy and the adaptability of the ANN model in terms of Root Mean Square and Mean Square Errors. The analysis results implied that the proposed ANN-based temperature control logic had potentials to be applied for the temperature control in the double skin envelope buildings.

MONO-MATERIAL PRSSURE-CONDUCTIVE RUBBER SENSOR WITH TEMPERATURE SENSITIVITY FOR REALIZING ARTIFICIAL SKIN SENSING

  • Yuji, Jun-ichiro;Shida, Katsunori
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.1314-1317
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    • 1997
  • For realizing artificial skin sensing as a final goal, a mono-material pressure-conductive rubber sensor which is also sensitive for temperature is described. Firstly, discimination of the hardness and the thermal property of material using a proposed sensor is presented. Furthermore, a tactile sensor constints of four pressure-conductive rubber sensor to discriminate surface model which imitaties the surface roughness of material is proposed.

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