Application of HPV-16 in Liquid-Based thin Layer Cytology of Host Genetic Lesions Based on AI Diagnostic Technology Presentation of Liquid

Authors

  • Shuqian Du Information Studies, Trine University, Phoenix, Arizona, USA
  • Linxiao Li Communication Engineering, Peking University, Beijing, China
  • Yong Wang Information Technology, University of Aberdeen, Aberdeen, United Kingdom
  • Yuxiang Liu Computer Engineering, Northwestern University, Atlanta, Georgia, USA
  • Yiming Pan Computer Science, Individual Contributor, Austin TX,USA

DOI:

https://doi.org/10.53469/jtpes.2023.03(12).01

Keywords:

Liquid-Based thin Layer Cytology, AI Diagnostic Technology, Cervical Lesions, Diagnosis

Abstract

Nowadays, with the continuous improvement of people's health awareness and the increasing incidence of cancer year by year, the screening work of various clinical diseases, especially cancer, is also widely promoted. Cervical lesion screening is a common type. Cervical lesion screening is used to judge whether women have cervical lesions and increase attention to cervical lesions[1]. Proper prevention, diagnosis and treatment play an important role in ensuring women's health and life safety, and have been widely promoted in many places in our country. At the same time, in the screening of cervical lesions, how to adopt a more efficient and accurate diagnosis is very important to improve the screening effect of cervical lesions. With the rapid development of science and technology, AI and other advanced technologies have been gradually introduced in clinical disease diagnosis, especially in the liquid-based thin-layer cytology examination[2]. To further analyze the application effect of liquid based thin layer cytology AI diagnostic technology in the pathological diagnosis of cervical lesions. In this paper, we investigate the occurrence of HPV-16 integrated human host genome in cervical cancer and precancerous lesions and its application in cervical cancer screening. 50 cases of cervical cancer, 127 cases of LSIL, 83 cases of HSIL were collected, in addition, 22 cases of normal cervical epithelial tissues extracted by total hysterectomy were collected. The integration status of HPV-16 infection was detected by overlapping PCR.

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Published

2023-12-29

How to Cite

Du, S., Li, L., Wang, Y., Liu, Y., & Pan, Y. (2023). Application of HPV-16 in Liquid-Based thin Layer Cytology of Host Genetic Lesions Based on AI Diagnostic Technology Presentation of Liquid. Journal of Theory and Practice of Engineering Science, 3(12), 1–6. https://doi.org/10.53469/jtpes.2023.03(12).01

Issue

Vol. 3 No. 12 (2023): JTPES-2023-3-12

Section

Articles

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Copyright (c) 2023 Shuqian Du, Linxiao Li, Yong Wang, Yuxiang Liu, Yiming Pan

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.