# A vision–language foundation model for precision oncology

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-vision-language-foundation-model-for-precision-oncology/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jinxi Xiang,Xiyue Wang,Xiaoming Zhang,Yinghua Xi,Feyisope Eweje,Yijiang Chen,Yuchen Li,Colin P. Bergstrom,Matthew Gopaulchan,Ted Kim,Kun‐Hsing Yu,Sierra Willens,Francesca Olguin,Jeffrey Nirschl,Joel W. Neal,Maximilian Diehn,Sen Yang,Ruijiang Li |
| Citations | 186 |
| DOI | 10.1038/s41586-024-08378-w |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://dash.harvard.edu/bitstreams/204b5e75-eca8-4b49-9444-ea9a88fadc34/download |
| OpenAlex ID | https://openalex.org/W4406168947 |
| PMID | 39779851 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Maximilian Diehn](https://scholariq.org/researchers/maximilian-diehn/)
- [Sen Yang](https://scholariq.org/researchers/sen-yang/)

## Paper journal

- [Nature](https://scholariq.org/journals/nature/)

## Paper primary topic

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

## Paper topics

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Cancer Genomics and Diagnostics](https://scholariq.org/topics/cancer-genomics-and-diagnostics/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.