Back to search

Article

Machine-Learning Screening of Early Cervical Lesions Using HPV Genotyping and Exploratory Fusion-Gene Analysis

2025-11-21

Abstract excerpt

<title>Abstract</title> <p>Background Cervical cancer is the fourth most common malignancy in women worldwide, primarily driven by persistent high-risk human papillomavirus (HPV) infection. However, conventional screening methods such as cytology and HPV DNA testing remain limited in accuracy and scalability, particularly for early or precancerous lesions. Methods We analyzed HPV infection patterns, genotype dist...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
784555e6-01e0-5913-be47-9f4a47f52941
DOI
10.21203/rs.3.rs-7859112/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Machine-Learning Screening of Early Cervical Lesions Using HPV Genotyping and Exploratory Fusion-Gene AnalysisDOI 10.21203/rs.3.rs-7859112/v1
Select a neighboring publication to make it the new centre.