Accurate prediction of disease-free and overall survival in non-small cell lung cancer using patient-level multimodal weakly supervised learning

Accurate prediction of disease-free and overall survival in non-small cell lung cancer using patient-level multimodal weakly supervised learning

Abstract With the rapid progress in artificial intelligence (AI) and digital pathology, prognosis prediction for non-small cell lung cancer (NSCLC) patients has become a critical component of personalized medicine. In this study, we developed a multimodal AI model that integrated whole-slide images...

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Bibliographic Details
Main Authors: Yongmeng Li, Xiaodong Chai, Moxuan Yang, Jiahang Xiong, Junyang Zeng, Yun Chen, Gang Xu, Haifeng Lin, Wei Wang, Shuhao Wang, Nanying Che
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:npj Precision Oncology
Online Access:https://doi.org/10.1038/s41698-025-00981-y
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