DataVXACS NanoPaper
journal article·2025-07-22

Machine Learning-Assisted Multimodal Early Screening of Lung Cancer Based on a Multiplexed Laser-Induced Graphene Immunosensor

Yongsheng Cai, Lihui Ke, Anxu Du, Jiancheng Dong, Zitong Gai, Lichun Gao, Xiaoxiao Yang, Hao Han, Minghua Du, Guangliang Qiang, Li Wang, Bo Wei, Yubo Fan, Yang Wang

ACS Nano· Volume 19· Issue 28
Publisher page
Source abstract

Abstract

Lung cancer remains the leading cause of cancer-related mortality worldwide, largely due to late-stage diagnosis. Early detection is critical for improving patient outcomes, yet current screening methods, such as low-dose computed tomography (CT), often lack the sensitivity and specificity required for early-stage detection. Here, we present a multimodal early screening platform that integrates a multiplexed laser-induced graphene (LIG) immunosensor with machine learning to enhance the accuracy of lung cancer diagnosis. Our platform enables the rapid, cost-effective, and simultaneous detection of four tumor markers─neuron-specific enolase (NSE), carcinoembryonic antigen (CEA), p53, and SOX2─with limits of detection (LOD) as low as 1.62 pg/mL. By combining proteomic data from the immunosensor with deep learning-based CT imaging features and clinical data, we developed a multimodal predictive model that achieves an area under the curve (AUC) of 0.936, significantly outperforming single-modality approaches. This platform offers a transformative solution for early lung cancer screening, particularly in resource-limited settings, and provides potential technical support for precision medicine in oncology.
Source: openalex_inverted_index · Quality: baseline

Research context

Nanomaterials

OpenAlex topics: Lung Cancer Diagnosis and Treatment · Lung Cancer Research Studies · Nanoplatforms for cancer theranostics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Engineering Medicine

Beihang University

Department of Thoracic Surgery, Beijing Tiantan Hospital

Capital Medical University

School of Mechanical Engineering

Qilu University of Technology (Shandong Academy of Sciences)

School of Pharmacy

Liaocheng Vocational and Technical College

School of Management

Wuhan University of Technology

People’s Hospital of Rizhao

Department of Emergency, the First Medical Center

Chinese PLA General Hospital

Department of Thoracic Surgery

Peking University Third Hospital

Funding

Beijing Municipal Science and Technology Commission, Adminitrative Commission of Zhongguancun Science Park · Capital Medical University · Ministry of Education of the People's Republic of China · Ministry of Science and Technology of the People's Republic of China · Department of Science and Technology of Shandong Province

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