Exploring Advances in Early Screening of Nasopharyngeal Carcinoma Based on Regional Medical Big Data Platforms

Guowen Zhan

doi:doi:10.11648/j.ajcem.20261401.11

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Exploring Advances in Early Screening of Nasopharyngeal Carcinoma Based on Regional Medical Big Data Platforms

Guowen Zhan^*

Published in American Journal of Clinical and Experimental Medicine (Volume 14, Issue 1)

Received: 8 January 2026 Accepted: 20 January 2026 Published: 31 January 2026

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Abstract

Nasopharyngeal carcinoma (NPC) has an insidious onset and lacks obvious early symptoms, often leading to diagnosis at middle or late stages and significantly worsening patient prognosis. Regional medical big data platforms integrate clinical, genomic, and imaging data sources. These platforms provide advanced technical support and novel research perspectives, such as the identification of new biomarkers and predictive modeling approaches, to facilitate early detection of NPC. This review summarizes recent advances in NPC early detection enabled by these platforms. It highlights the application and benefits of multimodal screening strategies, including Epstein-Barr virus (EBV)-related biomarker assays, DNA methylation analysis, imaging screening techniques, and machine learning algorithms. We synthesize the latest research findings and analyze the potential of multi-omics data integration and artificial intelligence technologies to improve screening accuracy. Moreover, we discuss how these approaches can reduce false-positive findings in NPC early detection. We also explore future directions for achieving precise and personalized NPC early detection through big data platforms. This review aims to provide both theoretical foundations and practical guidance for building regional medical big data platforms, thereby facilitating the optimization and wider implementation of NPC early detection systems by enhancing data integration and analytical capabilities.

Published in	American Journal of Clinical and Experimental Medicine (Volume 14, Issue 1)
DOI	10.11648/j.ajcem.20261401.11
Page(s)	1-14
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2026. Published by Science Publishing Group

Keywords

Nasopharyngeal Carcinoma, Early Screening, Regional Health Medical Big Data, Epstein-Barr Virus, DNA Methylation, Imaging, Machine Learning

References

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Zhan, G. (2026). Exploring Advances in Early Screening of Nasopharyngeal Carcinoma Based on Regional Medical Big Data Platforms. American Journal of Clinical and Experimental Medicine, 14(1), 1-14. https://doi.org/10.11648/j.ajcem.20261401.11

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Zhan, G. Exploring Advances in Early Screening of Nasopharyngeal Carcinoma Based on Regional Medical Big Data Platforms. Am. J. Clin. Exp. Med. 2026, 14(1), 1-14. doi: 10.11648/j.ajcem.20261401.11

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Zhan G. Exploring Advances in Early Screening of Nasopharyngeal Carcinoma Based on Regional Medical Big Data Platforms. Am J Clin Exp Med. 2026;14(1):1-14. doi: 10.11648/j.ajcem.20261401.11

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@article{10.11648/j.ajcem.20261401.11,
  author = {Guowen Zhan},
  title = {Exploring Advances in Early Screening of Nasopharyngeal Carcinoma Based on Regional Medical Big Data Platforms},
  journal = {American Journal of Clinical and Experimental Medicine},
  volume = {14},
  number = {1},
  pages = {1-14},
  doi = {10.11648/j.ajcem.20261401.11},
  url = {https://doi.org/10.11648/j.ajcem.20261401.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcem.20261401.11},
  abstract = {Nasopharyngeal carcinoma (NPC) has an insidious onset and lacks obvious early symptoms, often leading to diagnosis at middle or late stages and significantly worsening patient prognosis. Regional medical big data platforms integrate clinical, genomic, and imaging data sources. These platforms provide advanced technical support and novel research perspectives, such as the identification of new biomarkers and predictive modeling approaches, to facilitate early detection of NPC. This review summarizes recent advances in NPC early detection enabled by these platforms. It highlights the application and benefits of multimodal screening strategies, including Epstein-Barr virus (EBV)-related biomarker assays, DNA methylation analysis, imaging screening techniques, and machine learning algorithms. We synthesize the latest research findings and analyze the potential of multi-omics data integration and artificial intelligence technologies to improve screening accuracy. Moreover, we discuss how these approaches can reduce false-positive findings in NPC early detection. We also explore future directions for achieving precise and personalized NPC early detection through big data platforms. This review aims to provide both theoretical foundations and practical guidance for building regional medical big data platforms, thereby facilitating the optimization and wider implementation of NPC early detection systems by enhancing data integration and analytical capabilities.},
 year = {2026}
}

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TY  - JOUR
T1  - Exploring Advances in Early Screening of Nasopharyngeal Carcinoma Based on Regional Medical Big Data Platforms
AU  - Guowen Zhan
Y1  - 2026/01/31
PY  - 2026
N1  - https://doi.org/10.11648/j.ajcem.20261401.11
DO  - 10.11648/j.ajcem.20261401.11
T2  - American Journal of Clinical and Experimental Medicine
JF  - American Journal of Clinical and Experimental Medicine
JO  - American Journal of Clinical and Experimental Medicine
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PB  - Science Publishing Group
SN  - 2330-8133
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AB  - Nasopharyngeal carcinoma (NPC) has an insidious onset and lacks obvious early symptoms, often leading to diagnosis at middle or late stages and significantly worsening patient prognosis. Regional medical big data platforms integrate clinical, genomic, and imaging data sources. These platforms provide advanced technical support and novel research perspectives, such as the identification of new biomarkers and predictive modeling approaches, to facilitate early detection of NPC. This review summarizes recent advances in NPC early detection enabled by these platforms. It highlights the application and benefits of multimodal screening strategies, including Epstein-Barr virus (EBV)-related biomarker assays, DNA methylation analysis, imaging screening techniques, and machine learning algorithms. We synthesize the latest research findings and analyze the potential of multi-omics data integration and artificial intelligence technologies to improve screening accuracy. Moreover, we discuss how these approaches can reduce false-positive findings in NPC early detection. We also explore future directions for achieving precise and personalized NPC early detection through big data platforms. This review aims to provide both theoretical foundations and practical guidance for building regional medical big data platforms, thereby facilitating the optimization and wider implementation of NPC early detection systems by enhancing data integration and analytical capabilities.
VL  - 14
IS  - 1
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Guowen Zhan

Department of Otolaryngology-Head & Neck Surgery, Ningbo Hospital of Integrated Traditional Chinese and Western Medicine, Ningbo, China

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http://orcid.org/0000-0001-9416-6797

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Zhan, G. (2026). Exploring Advances in Early Screening of Nasopharyngeal Carcinoma Based on Regional Medical Big Data Platforms. American Journal of Clinical and Experimental Medicine, 14(1), 1-14. https://doi.org/10.11648/j.ajcem.20261401.11

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Zhan, G. Exploring Advances in Early Screening of Nasopharyngeal Carcinoma Based on Regional Medical Big Data Platforms. Am. J. Clin. Exp. Med. 2026, 14(1), 1-14. doi: 10.11648/j.ajcem.20261401.11

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Zhan G. Exploring Advances in Early Screening of Nasopharyngeal Carcinoma Based on Regional Medical Big Data Platforms. Am J Clin Exp Med. 2026;14(1):1-14. doi: 10.11648/j.ajcem.20261401.11

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@article{10.11648/j.ajcem.20261401.11,
  author = {Guowen Zhan},
  title = {Exploring Advances in Early Screening of Nasopharyngeal Carcinoma Based on Regional Medical Big Data Platforms},
  journal = {American Journal of Clinical and Experimental Medicine},
  volume = {14},
  number = {1},
  pages = {1-14},
  doi = {10.11648/j.ajcem.20261401.11},
  url = {https://doi.org/10.11648/j.ajcem.20261401.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcem.20261401.11},
  abstract = {Nasopharyngeal carcinoma (NPC) has an insidious onset and lacks obvious early symptoms, often leading to diagnosis at middle or late stages and significantly worsening patient prognosis. Regional medical big data platforms integrate clinical, genomic, and imaging data sources. These platforms provide advanced technical support and novel research perspectives, such as the identification of new biomarkers and predictive modeling approaches, to facilitate early detection of NPC. This review summarizes recent advances in NPC early detection enabled by these platforms. It highlights the application and benefits of multimodal screening strategies, including Epstein-Barr virus (EBV)-related biomarker assays, DNA methylation analysis, imaging screening techniques, and machine learning algorithms. We synthesize the latest research findings and analyze the potential of multi-omics data integration and artificial intelligence technologies to improve screening accuracy. Moreover, we discuss how these approaches can reduce false-positive findings in NPC early detection. We also explore future directions for achieving precise and personalized NPC early detection through big data platforms. This review aims to provide both theoretical foundations and practical guidance for building regional medical big data platforms, thereby facilitating the optimization and wider implementation of NPC early detection systems by enhancing data integration and analytical capabilities.},
 year = {2026}
}

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TY  - JOUR
T1  - Exploring Advances in Early Screening of Nasopharyngeal Carcinoma Based on Regional Medical Big Data Platforms
AU  - Guowen Zhan
Y1  - 2026/01/31
PY  - 2026
N1  - https://doi.org/10.11648/j.ajcem.20261401.11
DO  - 10.11648/j.ajcem.20261401.11
T2  - American Journal of Clinical and Experimental Medicine
JF  - American Journal of Clinical and Experimental Medicine
JO  - American Journal of Clinical and Experimental Medicine
SP  - 1
EP  - 14
PB  - Science Publishing Group
SN  - 2330-8133
UR  - https://doi.org/10.11648/j.ajcem.20261401.11
AB  - Nasopharyngeal carcinoma (NPC) has an insidious onset and lacks obvious early symptoms, often leading to diagnosis at middle or late stages and significantly worsening patient prognosis. Regional medical big data platforms integrate clinical, genomic, and imaging data sources. These platforms provide advanced technical support and novel research perspectives, such as the identification of new biomarkers and predictive modeling approaches, to facilitate early detection of NPC. This review summarizes recent advances in NPC early detection enabled by these platforms. It highlights the application and benefits of multimodal screening strategies, including Epstein-Barr virus (EBV)-related biomarker assays, DNA methylation analysis, imaging screening techniques, and machine learning algorithms. We synthesize the latest research findings and analyze the potential of multi-omics data integration and artificial intelligence technologies to improve screening accuracy. Moreover, we discuss how these approaches can reduce false-positive findings in NPC early detection. We also explore future directions for achieving precise and personalized NPC early detection through big data platforms. This review aims to provide both theoretical foundations and practical guidance for building regional medical big data platforms, thereby facilitating the optimization and wider implementation of NPC early detection systems by enhancing data integration and analytical capabilities.
VL  - 14
IS  - 1
ER  -

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