Advances in ocular aging: combining deep learning, imaging, and liquid biopsy biomarkers
Ageing is a significant risk factor for a wide range of human diseases. Yet, its direct relationship with ocular ageing as a marker for overall age-related diseases and mortality still needs to be explored. Non-invasive and minimally invasive methods, including biomarkers detected through ocular ima...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-07-01
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| Series: | Frontiers in Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2025.1591936/full |
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| author | Dengren Zhang Dengren Zhang Naiyang Li Naiyang Li Fan Li Fan Li Fan Li |
| author_facet | Dengren Zhang Dengren Zhang Naiyang Li Naiyang Li Fan Li Fan Li Fan Li |
| author_sort | Dengren Zhang |
| collection | DOAJ |
| description | Ageing is a significant risk factor for a wide range of human diseases. Yet, its direct relationship with ocular ageing as a marker for overall age-related diseases and mortality still needs to be explored. Non-invasive and minimally invasive methods, including biomarkers detected through ocular imaging or liquid biopsies from the aqueous humour or vitreous body, provide a promising avenue for assessing ocular ageing. These approaches are particularly valuable given the eye’s limited regenerative capacity, where tissue damage can result in irreversible harm. In recent years, artificial intelligence (AI), particularly deep learning, has revolutionized medical research, offering novel perspectives on the ageing process. This review highlights how integrating deep learning with advanced imaging and liquid biopsy biomarkers has become a transformative approach to understanding ocular ageing and its implications for systemic health. |
| format | Article |
| id | doaj-art-bc7569369ef243358aac0cca2a653cb0 |
| institution | Kabale University |
| issn | 2296-858X |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj-art-bc7569369ef243358aac0cca2a653cb02025-08-20T03:31:24ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2025-07-011210.3389/fmed.2025.15919361591936Advances in ocular aging: combining deep learning, imaging, and liquid biopsy biomarkersDengren Zhang0Dengren Zhang1Naiyang Li2Naiyang Li3Fan Li4Fan Li5Fan Li6Eye Center, Zhongshan City People’s Hospital, Zhongshan, ChinaShenzhen University Medical School, Shenzhen, ChinaEye Center, Zhongshan City People’s Hospital, Zhongshan, ChinaKey Laboratory of Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, ChinaEye Center, Zhongshan City People’s Hospital, Zhongshan, ChinaShenzhen University Medical School, Shenzhen, ChinaThe First Clinical Medical College, Guangdong Medical University, Zhanjiang, Guangdong, ChinaAgeing is a significant risk factor for a wide range of human diseases. Yet, its direct relationship with ocular ageing as a marker for overall age-related diseases and mortality still needs to be explored. Non-invasive and minimally invasive methods, including biomarkers detected through ocular imaging or liquid biopsies from the aqueous humour or vitreous body, provide a promising avenue for assessing ocular ageing. These approaches are particularly valuable given the eye’s limited regenerative capacity, where tissue damage can result in irreversible harm. In recent years, artificial intelligence (AI), particularly deep learning, has revolutionized medical research, offering novel perspectives on the ageing process. This review highlights how integrating deep learning with advanced imaging and liquid biopsy biomarkers has become a transformative approach to understanding ocular ageing and its implications for systemic health.https://www.frontiersin.org/articles/10.3389/fmed.2025.1591936/fullocular agingdeep learningliquid biopsyimagingage-related eye diseases |
| spellingShingle | Dengren Zhang Dengren Zhang Naiyang Li Naiyang Li Fan Li Fan Li Fan Li Advances in ocular aging: combining deep learning, imaging, and liquid biopsy biomarkers Frontiers in Medicine ocular aging deep learning liquid biopsy imaging age-related eye diseases |
| title | Advances in ocular aging: combining deep learning, imaging, and liquid biopsy biomarkers |
| title_full | Advances in ocular aging: combining deep learning, imaging, and liquid biopsy biomarkers |
| title_fullStr | Advances in ocular aging: combining deep learning, imaging, and liquid biopsy biomarkers |
| title_full_unstemmed | Advances in ocular aging: combining deep learning, imaging, and liquid biopsy biomarkers |
| title_short | Advances in ocular aging: combining deep learning, imaging, and liquid biopsy biomarkers |
| title_sort | advances in ocular aging combining deep learning imaging and liquid biopsy biomarkers |
| topic | ocular aging deep learning liquid biopsy imaging age-related eye diseases |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2025.1591936/full |
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