Work

Clinical Diagnosis of Lung Cancer via Exhaled Breath Analysis Using an Ultrasensitive and Cross-Selective Benzene-Derivative Gas Sensor Assisted by Machine Learning

Year: 2026

Type: article

Study design: Observational Study

Source: ACS Sensors

DOI: 10.1021/acssensors.5c02692

Authors: Fei Song, Chengyi Gong, Xiaoyu Feng, Guopeng Xu, Qingkuan Meng, Xiaoyu You, Jinshun Wang, Lixin Zhang, Chen Yang, Qiuxia Li, Jianwei Liu, Fangyu Ning, Nailiang Zhai, Qiang Jing, Shasha Han, Bo Liu

Institutions: Shandong University of Technology, Binzhou Medical University, Nanjing Medical University, Xi’an Jiaotong-Liverpool University

Language: English

Topic: Advanced Chemical Sensor Technologies

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Xi’an Jiaotong-Liverpool University, Natural Science Foundation of Shandong Province

Awards: G1062514267, G4154307679, G5118283254

OpenAlex ID: W7129090738

FWCI: 7.156

Cites: 40

Cited by: 4

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