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  1. Book: Innate lymphoid cells

    Sun, Xiao-Hong

    (Advances in experimental medicine and biology ; 1365)

    2022  

    Author's details Xiao-Hong Sun editor
    Series title Advances in experimental medicine and biology ; 1365
    Collection
    Keywords Lymphoid tissue ; Natural immunity
    Subject code 612.42
    Language English
    Size vii, 166 Seiten, Illustrationen, 26 cm
    Publisher Springer
    Publishing place Singapore
    Publishing country Singapore
    Document type Book
    HBZ-ID HT021378587
    ISBN 978-981-16-8386-2 ; 9789811683879 ; 981-16-8386-7 ; 9811683875
    Database Catalogue ZB MED Medicine, Health

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  2. Book ; Thesis: Mesenchymal stem cell-conditioned medium improves endothelial dysfunction of vascular grafts submitted to ischemia, reperfusion injury in 15-month-old rats

    Sun, XiaoXin / Szabó, Gábor

    2019  

    Institution Universität Heidelberg
    Author's details vorgelegt von XiaoXin SUN ; Doktorvater: Prof. Dr. med. Gábor Szabó, PhD
    Language English
    Size 90 Blätter, Illustrationen, Diagramme, 30 cm
    Publishing place Heidelberg
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Dissertation, Ruprecht-Karls-Universität Heidelberg, 2020
    HBZ-ID HT020623225
    Database Catalogue ZB MED Medicine, Health

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  3. Article ; Online: Serotonin suppresses lung ILC2 activation and proliferation.

    Sun, Xiao-Hong

    Cellular & molecular immunology

    2023  Volume 20, Issue 5, Page(s) 546–547

    MeSH term(s) Immunity, Innate ; Serotonin ; Lymphocytes ; Lung ; Cytokines ; Cell Proliferation ; Interleukin-33
    Chemical Substances Serotonin (333DO1RDJY) ; Cytokines ; Interleukin-33
    Language English
    Publishing date 2023-04-04
    Publishing country China
    Document type Letter ; Comment
    ZDB-ID 2435097-7
    ISSN 2042-0226 ; 1672-7681
    ISSN (online) 2042-0226
    ISSN 1672-7681
    DOI 10.1038/s41423-023-00996-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Chemical components in cultivated

    Dong, Zhonghua / Sun, Xiao

    Chinese herbal medicines

    2023  Volume 16, Issue 1, Page(s) 162–167

    Abstract: Objective: Cultivated : Methods: Nucleosides, sterols and polysaccharides were separated and purified from cultivated : Results: There were 10 kinds of nucleosides and one sterol in cultivated : Conclusion: ... ...

    Abstract Objective: Cultivated
    Methods: Nucleosides, sterols and polysaccharides were separated and purified from cultivated
    Results: There were 10 kinds of nucleosides and one sterol in cultivated
    Conclusion: Cultivated
    Language English
    Publishing date 2023-05-25
    Publishing country Singapore
    Document type Journal Article
    ISSN 2589-3610
    ISSN (online) 2589-3610
    DOI 10.1016/j.chmed.2022.11.008
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Wavelet scattering networks in deep learning for discovering protein markers in a cohort of Swedish rectal cancer patients.

    Pham, Tuan D / Sun, Xiao-Feng

    Cancer medicine

    2023  Volume 12, Issue 23, Page(s) 21502–21518

    Abstract: Background: Cancer biomarkers play a pivotal role in the diagnosis, prognosis, and treatment response prediction of the disease. In this study, we analyzed the expression levels of RhoB and DNp73 proteins in rectal cancer, as captured in ... ...

    Abstract Background: Cancer biomarkers play a pivotal role in the diagnosis, prognosis, and treatment response prediction of the disease. In this study, we analyzed the expression levels of RhoB and DNp73 proteins in rectal cancer, as captured in immunohistochemical images, to predict the 5-year survival time of two patient groups: one with preoperative radiotherapy and one without.
    Methods: The utilization of deep convolutional neural networks in medical research, particularly in clinical cancer studies, has been gaining substantial attention. This success primarily stems from their ability to extract intricate image features that prove invaluable in machine learning. Another innovative method for extracting features at multiple levels is the wavelet-scattering network. Our study combines the strengths of these two convolution-based approaches to robustly extract image features related to protein expression.
    Results: The efficacy of our approach was evaluated across various tissue types, including tumor, biopsy, metastasis, and adjacent normal tissue. Statistical assessments demonstrated exceptional performance across a range of metrics, including prediction accuracy, classification accuracy, precision, and the area under the receiver operating characteristic curve.
    Conclusion: These results underscore the potential of dual convolutional learning to assist clinical researchers in the timely validation and discovery of cancer biomarkers.
    MeSH term(s) Humans ; Deep Learning ; Sweden ; Neural Networks, Computer ; Rectal Neoplasms/diagnosis ; Rectal Neoplasms/therapy ; Rectal Neoplasms/pathology ; Biomarkers, Tumor
    Chemical Substances Biomarkers, Tumor
    Language English
    Publishing date 2023-11-28
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2659751-2
    ISSN 2045-7634 ; 2045-7634
    ISSN (online) 2045-7634
    ISSN 2045-7634
    DOI 10.1002/cam4.6672
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Annular Secondary Syphilis.

    Sun, Xiao-Dong / Liu, Yan

    Journal of cutaneous medicine and surgery

    2023  Volume 27, Issue 4, Page(s) 414

    Language English
    Publishing date 2023-05-24
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1361720-5
    ISSN 1615-7109 ; 1203-4754
    ISSN (online) 1615-7109
    ISSN 1203-4754
    DOI 10.1177/12034754231174850
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Research progress on the association between glycemic variability index derived from CGM and cardiovascular disease complications.

    Zhang, Lei / Sun, Xiao-Xuan / Tian, Qing-Shan

    Acta diabetologica

    2024  

    Abstract: Currently, glycated hemoglobin A1c (HbA1c) has been widely used to assess the glycemic control of patients with diabetes. However, HbA1c has certain limitations in describing both short-term and long-term glycemic control. To more accurately evaluate the ...

    Abstract Currently, glycated hemoglobin A1c (HbA1c) has been widely used to assess the glycemic control of patients with diabetes. However, HbA1c has certain limitations in describing both short-term and long-term glycemic control. To more accurately evaluate the glycemic control of diabetes patients, the continuous glucose monitoring (CGM) technology has emerged. CGM technology can provide robust data on short-term glycemic control and introduce new monitoring parameters such as time in range, time above range, and time below range as indicators of glycemic fluctuation. These indicators are used to describe the changes in glycemic control after interventions in clinical research or treatment modifications in diabetes patient care. Recent studies both domestically and internationally have shown that these indicators are not only associated with microvascular complications of diabetes mellitus but also closely related to cardiovascular disease complications and prognosis. Therefore, this article aims to comprehensively review the association between CGM-based glycemic parameters and cardiovascular disease complications by analyzing a large number of domestic and international literature. The purpose is to provide scientific evidence and guidance for the standardized application of these indicators in clinical practice, in order to better evaluate the glycemic control of diabetes patients and prevent the occurrence of cardiovascular disease complications. This research will contribute to improving the quality of life for diabetes patients and provide important references for clinical decision-making.
    Language English
    Publishing date 2024-03-12
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 1097676-0
    ISSN 1432-5233 ; 0940-5429
    ISSN (online) 1432-5233
    ISSN 0940-5429
    DOI 10.1007/s00592-024-02241-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Water Radiocatalysis for Selective Aqueous-Phase Methane Carboxylation with Carbon Dioxide into Acetic Acid at Room Temperature.

    Fang, Fei / Sun, Xiao / Liu, Yuanxu / Huang, Weixin

    Journal of the American Chemical Society

    2024  Volume 146, Issue 12, Page(s) 8492–8499

    Abstract: ... Methane ( ... ...

    Abstract Methane (CH
    Language English
    Publishing date 2024-03-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 3155-0
    ISSN 1520-5126 ; 0002-7863
    ISSN (online) 1520-5126
    ISSN 0002-7863
    DOI 10.1021/jacs.3c14632
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Female Adnexal Tumor of Probable Wolffian Origin Mimicking a Subserosal Myoma.

    Miao, Xin-Xin / Sun, Xiao-Fei / Wang, Jiao

    Journal of minimally invasive gynecology

    2024  

    Language English
    Publishing date 2024-04-04
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2186934-0
    ISSN 1553-4669 ; 1553-4650
    ISSN (online) 1553-4669
    ISSN 1553-4650
    DOI 10.1016/j.jmig.2024.04.001
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Body mass index and remote ischaemic conditioning efficacy in acute ischaemic stroke patients: A post hoc analysis of the Remote Ischaemic Conditioning for Acute Moderate Ischaemic Stroke (RICAMIS) trial.

    Sun, Xiao-Yu / Qu, Hui-Ling / Chen, Hui-Sheng

    Diabetes, obesity & metabolism

    2024  

    Language English
    Publishing date 2024-04-28
    Publishing country England
    Document type Letter
    ZDB-ID 1454944-x
    ISSN 1463-1326 ; 1462-8902
    ISSN (online) 1463-1326
    ISSN 1462-8902
    DOI 10.1111/dom.15614
    Database MEDical Literature Analysis and Retrieval System OnLINE

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