Oculomics: Current concepts and evidence Article Swipe
Zhuoting Zhu
,
Yueye Wang
,
Ziyi Qi
,
Wenyi Hu
,
Xiayin Zhang
,
Siegfried Wagner
,
Yujie Wang
,
An Ran Ran
,
Joshua Ong
,
Ethan Waisberg
,
Mouayad Masalkhi
,
Alex Suh
,
Yih Chung Tham
,
Carol Y. Cheung
,
Xiaohong Yang
,
Honghua Yu
,
Zongyuan Ge
,
Wei Wang
,
Bin Sheng
,
Yun Liu
,
Andrew G. Lee
,
Alastair K. Denniston
,
Peter van Wijngaarden
,
Pearse A. Keane
,
Ching‐Yu Cheng
,
Mingguang He
,
Tien Yin Wong
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.preteyeres.2025.101350
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.preteyeres.2025.101350
The eye provides novel insights into general health, as well as pathogenesis and development of systemic diseases. In the past decade, growing evidence has demonstrated that the eye's structure and function mirror multiple systemic health conditions, especially in cardiovascular diseases, neurodegenerative disorders, and kidney impairments. This has given rise to the field of oculomics-the application of ophthalmic biomarkers to understand mechanisms, detect and predict disease. The development of this field has been accelerated by three major advances: 1) the availability and widespread clinical adoption of high-resolution and non-invasive ophthalmic imaging ("hardware"); 2) the availability of large studies to interrogate associations ("big data"); 3) the development of novel analytical methods, including artificial intelligence (AI) ("software"). Oculomics offers an opportunity to enhance our understanding of the interplay between the eye and the body, while supporting development of innovative diagnostic, prognostic, and therapeutic tools. These advances have been further accelerated by developments in AI, coupled with large-scale linkage datasets linking ocular imaging data with systemic health data. Oculomics also enables the detection, screening, diagnosis, and monitoring of many systemic health conditions. Furthermore, oculomics with AI allows prediction of the risk of systemic diseases, enabling risk stratification, opening up new avenues for prevention or individualized risk prediction and prevention, facilitating personalized medicine. In this review, we summarise current concepts and evidence in the field of oculomics, highlighting the progress that has been made, remaining challenges, and the opportunities for future research.
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Concepts
Metadata
- Type
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- Language
- en
- Landing Page
- https://doi.org/10.1016/j.preteyeres.2025.101350
- OA Status
- hybrid
- Cited By
- 19
- References
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- OpenAlex ID
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Oculomics: Current concepts and evidenceWork title
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reviewOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-03-04Full publication date if available
- Authors
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Zhuoting Zhu, Yueye Wang, Ziyi Qi, Wenyi Hu, Xiayin Zhang, Siegfried Wagner, Yujie Wang, An Ran Ran, Joshua Ong, Ethan Waisberg, Mouayad Masalkhi, Alex Suh, Yih Chung Tham, Carol Y. Cheung, Xiaohong Yang, Honghua Yu, Zongyuan Ge, Wei Wang, Bin Sheng, Yun Liu, Andrew G. Lee, Alastair K. Denniston, Peter van Wijngaarden, Pearse A. Keane, Ching‐Yu Cheng, Mingguang He, Tien Yin WongList of authors in order
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hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.preteyeres.2025.101350Direct OA link when available
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2025: 19Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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