# A pathology foundation model for cancer diagnosis and prognosis prediction

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-pathology-foundation-model-for-cancer-diagnosis-and-prognosis-prediction/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Xiyue Wang,Junhan Zhao,Eliana Marostica,Wei Yuan,Jietian Jin,Jiayu Zhang,Ruijiang Li,Hongping Tang,Kanran Wang,Yu Li,Fang Wang,Yulong Peng,Junyou Zhu,Jing Zhang,Christopher Jackson,Jun Zhang,Deborah Dillon,Nancy U. Lin,Lynette M. Sholl,Thomas Denize,David M. Meredith,Keith L. Ligon,Sabina Signoretti,Shuji Ogino,Jeffrey A. Golden,MacLean P. Nasrallah,Xiao Han,Sen Yang,Kun‐Hsing Yu |
| Citations | 479 |
| DOI | 10.1038/s41586-024-07894-z |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://pmc.ncbi.nlm.nih.gov/articles/PMC12186853/pdf/nihms-2083991.pdf |
| OpenAlex ID | https://openalex.org/W4402220065 |
| PMID | 39232164 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Sen Yang](https://scholariq.org/researchers/sen-yang/)
- [Lynette M. Sholl](https://scholariq.org/researchers/lynette-m-sholl/)

## 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/)
- [Cell Image Analysis Techniques](https://scholariq.org/topics/cell-image-analysis-techniques/)

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