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Precisely Staging Diabetic Nephropathy by a Gold-Based Artificial Filtration Biomarker through Computed Tomography and Blood Testing of the Glomerular Filtration Rate

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Year: 2026
Type: article
Source: ACS Nano
DOI: 10.1021/acsnano.5c17310
Authors: Xunzhi Wu, Huixu Lu, Yexi Peng, Mingze Xu, Yuming Qi, Yuhan Yi, Yuanqing Song, Xiaoxian Wang, Yazhe Liang, Tiankai Chen, Xingya Jiang, Bujie Du
Institutions: South China University of Technology, Chinese University of Hong Kong, Key Laboratory of Guangdong Province
Language: English

Topic: Chronic Kidney Disease and Diabetes
Subfield: Nephrology
Field: Medicine
Domain: Health Sciences
SDG: Good health and well-being

Open Access status: closed

Funders: National Natural Science Foundation of China, Guangzhou First People's Hospital, National Key Research and Development Program of China
Awards: G2282121826, G4054326684, G4470384487, G6258444350, G6925472218, G7480474641
OpenAlex ID: W7130339557
FWCI: 9.477
Cites: 55
Cited by: 2
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