Correction: Development of a machine learning model for predicting the expression of proteins associated with targeted therapy in endometrial cancer

Keywords: endometrial carcinoma, machine learning, Pten, PIK3, mTOR, targeted therapy Citation: Sun C, Li Q, Huang Y, Xia Y, Li M, Zhu X, Zhu J and Zhao Z (2026) Correction: Development of a machine learning model for predicting the expression of proteins associated with targeted therapy in endometrial cancer. Front. Oncol. 16:1790105. doi: 10.3389/fonc.2026.1790105 Received: 17 January 2026; Accepted: 20 January 2026; Revised: 19 January 2026; Published: 26 January 2026. Approved by: Copyright © 2026 Sun, Li, Huang, Xia, Li, Zhu, Zhu and Zhao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. *Correspondence: Zhenhua Zhao, zhao2075@163.com