Oculomics and AI: The eye as a biomarker for health span

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Authors: Joy Le Yi Wong, Haoran Cheng, Wen Jun Peh, Dean Ho, Tien Yin Wong, Celene Yan Yan Hui, Darren S. J. Ting, Yong Mong Bee, Su Yen Goh, Rajendra S. Apte, Vinit B. Mahajan, Jeffrey L. Goldberg
+16 more Evelyne Bischof, David Sinclair, Carol C. Cheung, Hiok Hong Chan, Kanae Fukutsu, Ting Fang Tan, Chrystie Wan Ning Quek, Ashley Shuen Ying Hong, Li Yuan Jin, Siegfried Karl Wagner, Pearse Keane, Daniela Ferrara, Malvina Eydelman, Dennis SC Lam, X. Wang, Daniel S.W. Ting
Cited by: 4
References: 135

Abstract

As the world's population ages, the focus of healthcare is shifting from extending life span to promoting health span. There is an unmet need to identify sensitive and reliable markers of health span through more cost-effective and non-invasive methods, to enable early and effective intervention on modifiable aging factors. The eye offers a unique window into systemic health, providing direct visualization of the body's vascular and neural health. This review presents an overview of how various ocular structures can serve as biomarkers of health span-drawing on insights from ocular imaging, metabolomics, and proteomics, with evidence from basic science, animal models, and human clinical trials. The role of artificial intelligence (AI) in predicting biological age and the risk of age-related systemic conditions is also highlighted, with a focus on current applications and how AI is being integrated to synthesize and interpret multimodal data.

Fields of Study & Subjects

Retinal Imaging and Analysis Retinal Diseases and Treatments Glaucoma and retinal disorders

Publication details

Journal / source
Asia-Pacific Journal of Ophthalmology
Publisher
Elsevier BV
Volume
15
Issue
1
Pages
100282–100282
Publication date
1 January 2026
Language
EN