Oculomics and AI: The eye as a biomarker for health span.
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.
The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.
Research summary
The paper claims that ocular structures can serve as biomarkers of health span, with AI aiding in the prediction of biological age and age-related conditions. This research is relevant as it explores non-invasive methods to identify markers of health span, addressing the root causes of aging and promoting early intervention strategies.
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