LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 7 of total 7

Search options

  1. Article ; Online: Nature-Derived Polysaccharide-Based Composite Hydrogels for Promoting Wound Healing.

    Lee, Hyerin / Jung, Yerim / Lee, Nayeon / Lee, Inhye / Lee, Jin Hyun

    International journal of molecular sciences

    2023  Volume 24, Issue 23

    Abstract: Numerous innovative advancements in dressing technology for wound healing have emerged. Among the various types of wound dressings available, hydrogel dressings, structured with a three-dimensional network and composed of predominantly hydrophilic ... ...

    Abstract Numerous innovative advancements in dressing technology for wound healing have emerged. Among the various types of wound dressings available, hydrogel dressings, structured with a three-dimensional network and composed of predominantly hydrophilic components, are widely used for wound care due to their remarkable capacity to absorb abundant wound exudate, maintain a moisture environment, provide soothing and cooling effects, and mimic the extracellular matrix. Composite hydrogel dressings, one of the evolved dressings, address the limitations of traditional hydrogel dressings by incorporating additional components, including particles, fibers, fabrics, or foams, within the hydrogels, effectively promoting wound treatment and healing. The added elements enhance the features or add specific functionalities of the dressings, such as sensitivity to external factors, adhesiveness, mechanical strength, control over the release of therapeutic agents, antioxidant and antimicrobial properties, and tissue regeneration behavior. They can be categorized as natural or synthetic based on the origin of the main components of the hydrogel network. This review focuses on recent research on developing natural polysaccharide-based composite hydrogel wound dressings. It explores their preparation and composition, the reinforcement materials integrated into hydrogels, and therapeutic agents. Furthermore, it discusses their features and the specific types of wounds where applied.
    MeSH term(s) Hydrogels/pharmacology ; Wound Healing ; Anti-Infective Agents ; Bandages, Hydrocolloid ; Polysaccharides/pharmacology
    Chemical Substances Hydrogels ; Anti-Infective Agents ; Polysaccharides
    Language English
    Publishing date 2023-11-24
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms242316714
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  2. Book ; Online: Local Feature Extraction from Salient Regions by Feature Map Transformation

    Jung, Yerim / Nizam, Nur Suriza Syazwany Binti Ahmad / Lee, Sang-Chul

    2023  

    Abstract: Local feature matching is essential for many applications, such as localization and 3D reconstruction. However, it is challenging to match feature points accurately in various camera viewpoints and illumination conditions. In this paper, we propose a ... ...

    Abstract Local feature matching is essential for many applications, such as localization and 3D reconstruction. However, it is challenging to match feature points accurately in various camera viewpoints and illumination conditions. In this paper, we propose a framework that robustly extracts and describes salient local features regardless of changing light and viewpoints. The framework suppresses illumination variations and encourages structural information to ignore the noise from light and to focus on edges. We classify the elements in the feature covariance matrix, an implicit feature map information, into two components. Our model extracts feature points from salient regions leading to reduced incorrect matches. In our experiments, the proposed method achieved higher accuracy than the state-of-the-art methods in the public dataset, such as HPatches, Aachen Day-Night, and ETH, which especially show highly variant viewpoints and illumination.

    Comment: British Machine Vision Conference (BMVC) 2022
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Subject code 004
    Publishing date 2023-01-25
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  3. Article ; Online: Bisoprolol-based

    Kang, Julie / More, Kunal N / Pyo, Ayoung / Jung, Yerim / Kim, Dong-Yeon / Chang, Dong-Jo

    Bioorganic & medicinal chemistry letters

    2021  Volume 36, Page(s) 127789

    Abstract: The selectivity of a drug toward various isoforms of the target protein family is important in terms of toxicology. Typically, drug or candidate selectivity is assessed by in vitro assays, but in vivo investigations are currently lacking. Positron ... ...

    Abstract The selectivity of a drug toward various isoforms of the target protein family is important in terms of toxicology. Typically, drug or candidate selectivity is assessed by in vitro assays, but in vivo investigations are currently lacking. Positron emission tomography (PET) allows the non-invasive determination of the in vivo distribution of a radiolabeled drug, which can provide in vivo data regarding drug selectivity. Since the discovery of propranolol, a non-selective β-blocker inhibiting both β
    MeSH term(s) Adrenergic beta-Antagonists/chemical synthesis ; Adrenergic beta-Antagonists/chemistry ; Adrenergic beta-Antagonists/pharmacology ; Animals ; Bisoprolol/chemical synthesis ; Bisoprolol/chemistry ; Bisoprolol/pharmacology ; Dose-Response Relationship, Drug ; Fluorine Radioisotopes ; Heart/drug effects ; Mice ; Mice, Inbred BALB C ; Molecular Structure ; Positron-Emission Tomography ; Receptors, Adrenergic, beta-1/metabolism ; Structure-Activity Relationship ; Tissue Distribution
    Chemical Substances Adrenergic beta-Antagonists ; Fluorine Radioisotopes ; Receptors, Adrenergic, beta-1 ; Bisoprolol (Y41JS2NL6U)
    Language English
    Publishing date 2021-01-14
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1063195-1
    ISSN 1464-3405 ; 0960-894X
    ISSN (online) 1464-3405
    ISSN 0960-894X
    DOI 10.1016/j.bmcl.2021.127789
    Database MEDical Literature Analysis and Retrieval System OnLINE

    Full text online

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 3203: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  4. Book ; Online: M3FPolypSegNet

    Nam, Ju-Hyeon / Park, Seo-Hyeong / Syazwany, Nur Suriza / Jung, Yerim / Im, Yu-Han / Lee, Sang-Chul

    Segmentation Network with Multi-frequency Feature Fusion for Polyp Localization in Colonoscopy Images

    2023  

    Abstract: Polyp segmentation is crucial for preventing colorectal cancer a common type of cancer. Deep learning has been used to segment polyps automatically, which reduces the risk of misdiagnosis. Localizing small polyps in colonoscopy images is challenging ... ...

    Abstract Polyp segmentation is crucial for preventing colorectal cancer a common type of cancer. Deep learning has been used to segment polyps automatically, which reduces the risk of misdiagnosis. Localizing small polyps in colonoscopy images is challenging because of its complex characteristics, such as color, occlusion, and various shapes of polyps. To address this challenge, a novel frequency-based fully convolutional neural network, Multi-Frequency Feature Fusion Polyp Segmentation Network (M3FPolypSegNet) was proposed to decompose the input image into low/high/full-frequency components to use the characteristics of each component. We used three independent multi-frequency encoders to map multiple input images into a high-dimensional feature space. In the Frequency-ASPP Scalable Attention Module (F-ASPP SAM), ASPP was applied between each frequency component to preserve scale information. Subsequently, scalable attention was applied to emphasize polyp regions in a high-dimensional feature space. Finally, we designed three multi-task learning (i.e., region, edge, and distance) in four decoder blocks to learn the structural characteristics of the region. The proposed model outperformed various segmentation models with performance gains of 6.92% and 7.52% on average for all metrics on CVC-ClinicDB and BKAI-IGH-NeoPolyp, respectively.

    Comment: 5pages. 2023 IEEE International Conference on Image Processing (ICIP). IEEE, 2023
    Keywords Electrical Engineering and Systems Science - Image and Video Processing ; Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Machine Learning ; 92C55
    Subject code 004
    Publishing date 2023-10-09
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  5. Article ; Online: Imaging Calreticulin for Early Detection of Immunogenic Cell Death During Anticancer Treatment.

    Kim, Dong-Yeon / Pyo, Ayoung / Yun, Misun / Thangam, Ramar / You, Sung-Hwan / Zhang, Ying / Jung, Ye-Rim / Nguyen, Dinh-Huy / Venu, Akhil / Kim, Hyeon Sik / Yoon, Mee Sun / Hong, Yeongjin / Min, Jung-Joon

    Journal of nuclear medicine : official publication, Society of Nuclear Medicine

    2021  Volume 62, Issue 7, Page(s) 956–960

    Abstract: Surface-exposed calreticulin (ecto-CRT) is a well-known "eat-me" signal exhibited by dying cells that contributes to their recognition and destruction by the immune system. We assessed the use of a CRT-specific binding peptide for imaging ecto-CRT during ...

    Abstract Surface-exposed calreticulin (ecto-CRT) is a well-known "eat-me" signal exhibited by dying cells that contributes to their recognition and destruction by the immune system. We assessed the use of a CRT-specific binding peptide for imaging ecto-CRT during immunogenic cell death and its utility for early prediction of treatment response.
    MeSH term(s) Antineoplastic Agents ; Early Detection of Cancer ; Humans ; Immunogenic Cell Death ; Neoplasms
    Chemical Substances Antineoplastic Agents
    Language English
    Publishing date 2021-01-28
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 80272-4
    ISSN 1535-5667 ; 0097-9058 ; 0161-5505 ; 0022-3123
    ISSN (online) 1535-5667
    ISSN 0097-9058 ; 0161-5505 ; 0022-3123
    DOI 10.2967/jnumed.120.245290
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 114: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 328: Show issues

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  6. Article ; Online: Design of a Novel and Selective IRAK4 Inhibitor Using Topological Water Network Analysis and Molecular Modeling Approaches.

    Lee, Myeong Hwi / Balupuri, Anand / Jung, Ye-Rim / Choi, Sungwook / Lee, Areum / Cho, Young Sik / Kang, Nam Sook

    Molecules (Basel, Switzerland)

    2018  Volume 23, Issue 12

    Abstract: Protein kinases are deeply involved in immune-related diseases and various cancers. They are a potential target for structure-based drug discovery, since the general structure and characteristics of kinase domains are relatively well-known. However, the ... ...

    Abstract Protein kinases are deeply involved in immune-related diseases and various cancers. They are a potential target for structure-based drug discovery, since the general structure and characteristics of kinase domains are relatively well-known. However, the ATP binding sites in protein kinases, which serve as target sites, are highly conserved, and thus it is difficult to develop selective kinase inhibitors. To resolve this problem, we performed molecular dynamics simulations on 26 kinases in the aqueous solution, and analyzed topological water networks (TWNs) in their ATP binding sites. Repositioning of a known kinase inhibitor in the ATP binding sites of kinases that exhibited a TWN similar to interleukin-1 receptor-associated kinase 4 (IRAK4) allowed us to identify a hit molecule. Another hit molecule was obtained from a commercial chemical library using pharmacophore-based virtual screening and molecular docking approaches. Pharmacophoric features of the hit molecules were hybridized to design a novel compound that inhibited IRAK4 at low nanomolar levels in the in vitro assay.
    MeSH term(s) Binding Sites ; Drug Design ; Drug Evaluation, Preclinical ; Drug Repositioning ; Interleukin-1 Receptor-Associated Kinases/antagonists & inhibitors ; Molecular Docking Simulation ; Protein Kinase Inhibitors/chemistry ; Protein Kinase Inhibitors/pharmacology ; Staurosporine/chemistry ; Staurosporine/pharmacology ; Water/chemistry
    Chemical Substances Protein Kinase Inhibitors ; Water (059QF0KO0R) ; Interleukin-1 Receptor-Associated Kinases (EC 2.7.11.1) ; Staurosporine (H88EPA0A3N)
    Language English
    Publishing date 2018-11-29
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules23123136
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.MO 81: Show issues

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  7. Article ; Online: In vivo imaging of invasive aspergillosis with

    Kim, Dong-Yeon / Pyo, Ayoung / Ji, Sehyeon / You, Sung-Hwan / Kim, Seong Eun / Lim, Daejin / Kim, Heejung / Lee, Kyung-Hwa / Oh, Se-Jeong / Jung, Ye-Rim / Kim, Uh Jin / Jeon, Subin / Kwon, Seong Young / Kang, Sae-Ryung / Lee, Hyang Burm / Hyun, Hoon / Kim, So-Young / Moon, Kyung-Sub / Lee, Sunwoo /
    Kang, Seung Ji / Min, Jung-Joon

    Nature communications

    2022  Volume 13, Issue 1, Page(s) 1926

    Abstract: Invasive aspergillosis is a critical complication in immunocompromised patients with hematologic malignancies or with viral pneumonia caused by influenza virus or SARS‑CoV‑2. Although early and accurate diagnosis of invasive aspergillosis can maximize ... ...

    Abstract Invasive aspergillosis is a critical complication in immunocompromised patients with hematologic malignancies or with viral pneumonia caused by influenza virus or SARS‑CoV‑2. Although early and accurate diagnosis of invasive aspergillosis can maximize clinical outcomes, current diagnostic methods are time-consuming and poorly sensitive. Here, we assess the ability of 2-deoxy-2-
    MeSH term(s) Animals ; Aspergillosis/diagnostic imaging ; Aspergillus fumigatus ; COVID-19 ; Humans ; Invasive Fungal Infections ; Lung/diagnostic imaging ; Mice ; Positron-Emission Tomography/methods ; SARS-CoV-2
    Language English
    Publishing date 2022-04-08
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2553671-0
    ISSN 2041-1723 ; 2041-1723
    ISSN (online) 2041-1723
    ISSN 2041-1723
    DOI 10.1038/s41467-022-29553-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

To top