This paper is in the following e-collection/theme issue:

Aging with Chronic Disease (179) Clinical Informatics (1338) mHealth for Data Collection and Research (1207) Computer-Aided Diagnosis (255) Imaging Informatics (308) Machine Learning (2096) Clinical Information and Decision Making (1936) Dementia and Cognitive Decline (703) Diagnostic Tools in Mental Health (328) Digital Biomarkers and Digital Phenotyping (291)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73004, first published .
Development and Validation of a Brain Aging Biomarker in Middle-Aged and Older Adults: Deep Learning Approach

Development and Validation of a Brain Aging Biomarker in Middle-Aged and Older Adults: Deep Learning Approach

Development and Validation of a Brain Aging Biomarker in Middle-Aged and Older Adults: Deep Learning Approach

Authors of this article:

Zihan Li1 Author Orcid Image ;   Jun Li2 Author Orcid Image ;   Jiahui Li1 Author Orcid Image ;   Mengying Wang1 Author Orcid Image ;   Andi Xu1 Author Orcid Image ;   Yushu Huang1 Author Orcid Image ;   Qi Yu1 Author Orcid Image ;   Lingzhi Zhang1 Author Orcid Image ;   Yingjun Li3 Author Orcid Image ;   Zilin Li4 Author Orcid Image ;   Xifeng Wu1, 5 Author Orcid Image ;   Jiajun Bu6 Author Orcid Image ;   Wenyuan Li1, 5 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Ki M, Kim D, Abdelhamid M, Pack S. Cancer and Aging Biomarkers: Classification, Early Detection Technologies and Emerging Research Trends. Biosensors 2025;15(11):737 View
  2. Toraih E, Hussein M, Alali A, Alanazi A, Almjlad N, Alanazi T, Alanazi R, Fawzy M. Brain Age Acceleration on MRI Due to Poor Sleep: Associations, Mechanisms, and Clinical Implications. Brain Sciences 2025;15(12):1325 View