Work

Artificial Intelligence-Coupled Self-Calibrating SERS Spectroscopy for Robust Clinical Diagnosis of Diabetes and Associated Complications

Year: 2025

Type: article

Source: Analytical Chemistry

DOI: 10.1021/acs.analchem.5c04281

Authors: Kaitao Lai, Shoubin Long, Shah Faisal, Xiaocong Wang, Soham Samanta, Weikang Chen, Shiqing Zhang, Zhangyue Wu, Fucheng Zhong, Gengwen Chen, Jiarong Lian, Junle Qu, Dixian Luo, Zhigang Yang, Xiaojun Peng

Institutions: Shenzhen University, Shenzhen Sixth People's Hospital, University of Engineering & Management, Mindray (China), State Key Laboratory of Fine Chemicals

Language: English

Topic: Gold and Silver Nanoparticles Synthesis and Applications

Subfield: Electronic, Optical and Magnetic Materials

Field: Materials Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Natural Science Foundation of Shenzhen City, National Natural Science Foundation of China, Shenzhen University, National Key Research and Development Program of China, Basic and Applied Basic Research Foundation of Guangdong Province

Awards: G1299915971, G1590821038, G2452076513, G2772962256, G3181016557, G5047208241, G5505838926, G6580605564, G6802933779

OpenAlex ID: W4415999631

FWCI: 0.972

Cites: 35

Cited by: 6

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