A machine learning-based screening model for the early detection of prostate cancer developed using serum microRNA data from a mixed cohort of 8,741 participants

A machine learning-based screening model for the early detection of prostate cancer developed using serum microRNA data from a mixed cohort of 8,741 participants

Abstract Objective Early detection of prostate cancer (PCa) can improve the prognosis of patients. Currently, the role of the prostate specific antigen test for PCa screening remains debatable. We aimed to develop an efficient and clinically applicable method for the screening of PCa by the noninvas...

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Bibliographic Details
Main Authors: Cong Lai, Zhensheng Hu, Zhuohang Li, Zhikai Wu, Kuiqing Li, Lin Li, Hongze Liu, Juanyi Shi, Yi Zhou, Kewei Xu, Cheng Liu
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Discover Oncology
Subjects:
Prostate cancer
Serum microRNA
Machine learning
Screening model
Online Access:https://doi.org/10.1007/s12672-025-02537-9
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https://doi.org/10.1007/s12672-025-02537-9

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