Multi-Omics Integration With Machine Learning Identified Early Diabetic Retinopathy, Diabetic Macula Edema and Anti-VEGF Treatment Response
The identified metabolic indicators may aid in predicting the early progression of DR and optimizing therapeutic strategies for DME.
Authors
- Yongyue Su
- Feng Wen (ORCID: https://orcid.org/0000-0003-3319-4051)
- Xiongze Zhang (ORCID: https://orcid.org/0000-0001-5530-4202)
- Qi Zhang (ORCID: https://orcid.org/0000-0002-7237-1674)
- Yuying Ji (ORCID: https://orcid.org/0000-0001-5249-9200)
- Chufan Luo (ORCID: https://orcid.org/0000-0001-8087-7790)
- Lan Mi (ORCID: https://orcid.org/0000-0001-6516-2527)
- Hui Chen (ORCID: https://orcid.org/0000-0002-6634-7635)
- Yuhong Gan (ORCID: https://orcid.org/0009-0009-0240-7983)
- Yuhui Pang
- Nanying Liao
Institutions
- Sun Yat-sen University (CN)
Publication Details
- Journal
- Translational Vision Science & Technology
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1167/tvst.13.12.23
- Citations
- 12
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 4.85
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Guangdong Province