Work

Machine Learning‐assisted Ultrasensitive SERS Immunoassays Across Wide Concentration Ranges Toward Clinical Ovarian Cancer Diagnosis

Year: 2025

Type: article

Source: Advanced Functional Materials

DOI: 10.1002/adfm.202509813

Authors: Shuang Lin, Mingyuan Dong, Chi Li, Xiang Lin, Yan Cong, Wen Xu, Zhouzhou Bao, Bin Dong

Institutions: State Ethnic Affairs Commission, Dalian Minzu University, Shanghai Jiao Tong University, Renji Hospital, Shanghai Key Laboratory of Gynecologic Oncology

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: National Natural Science Foundation of China, Shanghai Rising-Star Program, Liaoning Revitalization Talents Program, National Key Research and Development Program of China

Awards: G1241518040, G2116404520, G2120306089, G2665481987, G3104115121, G5238303472, G6223249278, G7794414411, G8549746684, G8795682029

OpenAlex ID: W4412372670

FWCI: 8.992

Cites: 65

Cited by: 56

Related to: 10