Crossmark

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

Crossref DOI link: https://doi.org/10.1038/s41698-025-00981-y

Published Online: 2025-06-19

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Li, Yongmeng

Chai, Xiaodong

Yang, Moxuan

Xiong, Jiahang

Zeng, Junyang

Chen, Yun

Xu, Gang

Lin, Haifeng

Wang, Wei

Wang, Shuhao https://orcid.org/0000-0002-5467-3548
Che, Nanying https://orcid.org/0000-0003-4179-1737
Funding

Funding for this research was provided by:

Beijing Municipal Public Welfare Development and Reform Pilot Project for Medical Research Institutes (No. JYY2023-15)

Beijing Municipal Public Welfare Development and Reform Pilot Project for Medical Research Institutes (No. JYY2023-15)

Beijing Municipal Public Welfare Development and Reform Pilot Project for Medical Research Institutes (No. JYY2023-15)

Beijing Municipal Public Welfare Development and Reform Pilot Project for Medical Research Institutes (No. JYY2023-15)

Beijing AI+Health Cultivation Innovation Project (No. Z241100007724001)

Beijing AI+Health Cultivation Innovation Project (No. Z241100007724001)

Beijing AI+Health Cultivation Innovation Project (No. Z241100007724001)

Beijing AI+Health Cultivation Innovation Project (No. Z241100007724001)

Beijing AI+Health Cultivation Innovation Project (No. Z241100007724001)

Beijing AI+Health Cultivation Innovation Project (No. Z241100007724001)

Beijing AI+Health Cultivation Innovation Project (No. Z241100007724001)

Beijing Nova Program, and 2023 Science and Technology Projects of Qinghai Province, China (No. 2023-ZJ-732)

Beijing Nova Program, and 2023 Science and Technology Projects of Qinghai Province, China (No. 2023-ZJ-732)

Beijing Nova Program, and 2023 Science and Technology Projects of Qinghai Province, China (No. 2023-ZJ-732)

Beijing Nova Program, and 2023 Science and Technology Projects of Qinghai Province, China (No. 2023-ZJ-732)

Beijing Nova Program, and 2023 Science and Technology Projects of Qinghai Province, China (No. 2023-ZJ-732)

Beijing Nova Program, and 2023 Science and Technology Projects of Qinghai Province, China (No. 2023-ZJ-732)

Beijing Nova Program, and 2023 Science and Technology Projects of Qinghai Province, China (No. 2023-ZJ-732)
License Information

Text and Data Mining valid from 2025-06-19

Version of Record valid from 2025-06-19
More Information

Article History

Received: 29 October 2024

Accepted: 28 May 2025

First Online: 19 June 2025

Competing interests

: The authors declare no competing interests.

Document is current

Any future updates will be listed below