A machine learning model for diabetic retinopathy risk stratification using routine blood and urine parameters: insights into kidney-eye crosstalk.

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Title: A machine learning model for diabetic retinopathy risk stratification using routine blood and urine parameters: insights into kidney-eye crosstalk.
Authors: Wang Y; Department of Ophthalmology, Affiliated Nantong Clinical College of Nantong University, Nantong First People's Hospital, Nantong, Jiangsu, China.; Department of Ophthalmology, Nantong First People's Hospital, Nantong, China., Yao L; Department of Ophthalmology, Affiliated Nantong Clinical College of Nantong University, Nantong First People's Hospital, Nantong, Jiangsu, China.; Department of Ophthalmology, Nantong First People's Hospital, Nantong, China., Chen T; Medical Research Center, Nantong First People's Hospital, Nantong, China., Zhang Q; Department of Ophthalmology, Affiliated Nantong Clinical College of Nantong University, Nantong First People's Hospital, Nantong, Jiangsu, China.; Department of Ophthalmology, Nantong First People's Hospital, Nantong, China., Cao X; Department of Ophthalmology, Nantong First People's Hospital, Nantong, China., Gu J; Department of Ophthalmology, Nantong First People's Hospital, Nantong, China., Bao S; Department of Ophthalmology, Nantong First People's Hospital, Nantong, China., Chen X; Department of Ophthalmology, Nantong First People's Hospital, Nantong, China., Cao C; Department of Ophthalmology, Nantong First People's Hospital, Nantong, China.
Source: Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2026 Jun 17; Vol. 17, pp. 1843412. Date of Electronic Publication: 2026 Jun 17 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101555782 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2392 (Print) Linking ISSN: 16642392 NLM ISO Abbreviation: Front Endocrinol (Lausanne) Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1664-2392
DOI:10.3389/fendo.2026.1843412