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Genetic insights and diagnostic innovations in cerebrovascular and cerebrospinal fluid disorders

  • Ling Li
  • , Haipeng Liu
  • , Linfang Lan
  • , Hao Yu
    • Zhoushan Hospital
    • National Medical Research Association
    • First Affiliated Hospital of Sun Yat-sen University
    • Zhejiang University School of Medicine

    Research output: Contribution to journal › Editorial › peer-review

    41 Downloads (Pure)
    Original languageEnglish
    Article number1691759
    Number of pages4
    JournalFrontiers in Neurology
    Volume16
    DOIs
    Publication statusPublished - 21 Oct 2025

    Bibliographical note

    © 2025 Li, Liu, Lan and Yu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    Funding

    The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the National Natural Science Foundation of China (82201513).

    FundersFunder number
    National Natural Science Foundation of China82201513

      Keywords

      • artificial intelligence
      • cerebrovascular diseases (CVDs)
      • molecular genetics
      • multi-omics data analysis
      • neuroimaging

      ASJC Scopus subject areas

      • Neurology
      • Clinical Neurology

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