Retinal photograph-based deep learning predicts biological age, and stratifies morbidity and mortality risk.

Journal: Age and ageing
Published Date:

Abstract

BACKGROUND: ageing is an important risk factor for a variety of human pathologies. Biological age (BA) may better capture ageing-related physiological changes compared with chronological age (CA).

Authors

  • Simon Nusinovici
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Tyler Hyungtaek Rim
    Department of Ocular Epidemiology, Singapore Eye Research Institute, Singapore, Singapore.
  • Marco Yu
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Geunyoung Lee
    MediWhale, Seoul, South Korea.
  • Yih-Chung Tham
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore; Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore.
  • Ning Cheung
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore; Ophthalmology and Visual Sciences Academic Clinical Program, Duke-NUS Medical School, Singapore.
  • Crystal Chun Yuen Chong
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Zhi Da Soh
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Sahil Thakur
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Chan Joo Lee
    Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea.
  • Charumathi Sabanayagam
    Singapore National Eye Centre, Singapore Eye Research Institute, Singapore, Singapore.
  • Byoung Kwon Lee
    Division of Cardiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
  • Sungha Park
    Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea; Integrated Research Center for Cerebrovascular and Cardiovascular Disease, Yonsei University College of Medicine, Seoul, South Korea.
  • Sung Soo Kim
    The Heart Center of Chonnam National University Hospital, 42 Jaebongro, Dong-gu, Gwangju 501-757, South Korea.
  • Hyeon Chang Kim
    Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Korea.
  • Tien-Yin Wong
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Ching-Yu Cheng
    Singapore National Eye Centre, Singapore Eye Research Institute, Singapore, Singapore.