1
Return

Dual modal pathomics model for colorectal cancer early recurrence prediction and mutation landscape analysis

delete2026-06-18
delete0
delete
OA
AI
W
Wenyu Luo
R
Runze Liu
X
Xiaomei Yang
W
Wendan Si
J
Jinglei Qu
L
Ling Xu
Y
Ying Chen
N
Na Song
J
Jin Wang
Y
Yu Cheng
X
Xiujuan Qu *
X
Xiaojiao Guan *
R
Ruichuan Shi *
DOI:10.1016/j.isci.2026.116459delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
• A dual-modal pathomics model predicts early recurrence in colorectal cancer • Combining H&E and Ki-67 images improves recurrence prediction • The UNI-based model performs robustly across validation cohorts • MTHFR and DPYD mutations appear enriched in the predicted high-risk group
Keywords:
health sciences
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

iScience cover
iScience
IF:
4.1
Papers:
4.6K
Citations:
4.1W

Organization

C
china medical university
Scholars:
3.9K
Papers: 1.3K
Citations: 0
Z
zhejiang university
Scholars:
17.0W
Papers: 11.9W
Citations: 152
Cited Papers

Cited Papers

Citing Papers

Citing Papers