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EDITORIAL article

Front. Dement.
Sec. Genetics and Biomarkers of Dementia
Volume 3 - 2024 | doi: 10.3389/frdem.2024.1444825
This article is part of the Research Topic Methods in Artificial Intelligence for Dementia 2024 View all 6 articles

Editorial: Methods in Artificial Intelligence for Dementia 2024

Provisionally accepted
  • 1 Harrisburg University of Science and Technology, Harrisburg, Pennsylvania, United States
  • 2 University of Edinburgh, Edinburgh, United Kingdom
  • 3 National Research Council Canada (NRC), Ottawa, Ontario, Canada
  • 4 Rush University Medical Center, Chicago, Illinois, United States
  • 5 Heritage College of Osteopathic Medicine, Ohio University, Athens, Ohio, United States

The final, formatted version of the article will be published soon.

    Keywords: digital biomarkers, machine learning, Dementia, Active living, cognitive impairment, intervention

    Received: 06 Jun 2024; Accepted: 17 Jun 2024.

    Copyright: © 2024 Sadeghian, Haider, Fraser, Tasaki and Muniz-Terrera. 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) or licensor 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.

    * Correspondence: Fasih Haider, University of Edinburgh, Edinburgh, United Kingdom

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.