A Deep Learning Framework Integrating Tumor Microenvironmental Features Accurately Predicts Multiple Driver Gene Mutations in Lung Cancer Pathology Images
The NAVF-Bio framework accurately predicts key driver gene mutations in lung cancer from routine pathology slides, offering opportunities for the application of AI in precision oncology.
Authors
- Liangrui Pan (ORCID: https://orcid.org/0000-0003-0565-4217)
- Songqing Fan (ORCID: https://orcid.org/0000-0002-1486-9909)
- Xiang Wang (ORCID: https://orcid.org/0000-0002-5211-7206)
- Jiadi Luo (ORCID: https://orcid.org/0000-0003-2060-391X)
- Shaoliang Peng (ORCID: https://orcid.org/0000-0002-4647-2615)
- Chenchen Nie (ORCID: https://orcid.org/0009-0002-8800-2651)
- Qide Liang (ORCID: https://orcid.org/0009-0004-2036-5792)
Institutions
- Central South University (CN)
- Changsha Medical University (CN)
- Hunan University (CN)
- Hunan Cancer Hospital (CN)
- Second Xiangya Hospital of Central South University (CN)
Publication Details
- Journal
- Cancer Research
- Published
- 2025-11-25
- DOI
- https://doi.org/10.1158/0008-5472.can-25-0582
- Citations
- 1
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 2.48