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

Zihan Li   1 * , MS ;   Jun Li   2 * , MD ;   Jiahui Li   1 * , BM ;   Mengying Wang   1 , MM ;   Andi Xu   1 , MM ;   Yushu Huang   1 , MM ;   Qi Yu   1 , MM ;   Lingzhi Zhang   1 , MM ;   Yingjun Li   3 , PhD ;   Zilin Li   4 , PhD ;   Xifeng Wu   1, 5 , MD, PhD ;   Jiajun Bu   6 , PhD ;   Wenyuan Li   1, 5 , ScD

1 Center for Clinical Big Data and Analytics, The Second Affiliated Hospital and Department of Big Data in Health Science, School of Public Health, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China

2 Department of Radiology, The First Affiliated Hospital, Zhengzhou University, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

3 Department of Epidemiology and Health Statistics, School of Public Health, Hangzhou Medical College, Hangzhou Medical College, Hangzhou, China

4 School of Mathematics and Statistics, Northeast Normal University, Northeast Normal University, Changchun, China

5 Zhejiang Provincial Key Laboratory of Intelligent Preventive Medicine, Hangzhou, China

6 Zhejiang Key Laboratory of Accessible Perception and Intelligent Systems, College of Computer Science and Technology, Zhejiang University, Hangzhou, China

*these authors contributed equally

Corresponding Author:

  • Wenyuan Li, ScD
  • Center for Clinical Big Data and Analytics, The Second Affiliated Hospital and Department of Big Data in Health Science, School of Public Health
  • Zhejiang University School of Medicine
  • Zhejiang University
  • Zhejiang Campus
  • 866 Yuhangtang Road
  • Hangzhou 310058
  • China
  • Phone: 86 19521623869
  • Email: wenyuanli@zju.edu.cn