# A foundation model for clinical-grade computational pathology and rare cancers detection

*PRI Rank #2 · Topics and Trends in Most Cited Cancer Genomics and Diagnostics Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/cancer-genomics-and-diagnostics/2026/rank-2*

| Field | Value |
| --- | --- |
| Rank | #2 |
| 18m citations | 272 |
| Journal | Nature Medicine |
| Year | 2024 |
| DOI | 10.1038/s41591-024-03141-0 |
| Corresponding authors | Siqi Liu, Thomas J. Fuchs |
| Institution | Paige, United States |

**Ranking page:** [Topics and Trends in Most Cited Cancer Genomics and Diagnostics Papers, Class of 2026](https://pri.pepkio.com/top-papers/cancer-genomics-and-diagnostics/2026)

**Paper link:** [10.1038/s41591-024-03141-0](https://doi.org/10.1038/s41591-024-03141-0)

## Topics

Foundation model · Digital pathology · Digital pathology · artificial intelligence · clinical decision support · Precision medicine · Virchow · pan-cancer detection · rare cancers detection · biomarker prediction · Cell type annotation · area under the receiver operating characteristic curve · Specimen-level classification · common cancers · rare cancer variants · tissue-specific models · self-supervised learning · Digital pathology · labeled training data · transfer learning · Digital pathology · Cancer diagnosis · clinical-grade models · Digital pathology · large-scale pretraining

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Cancer Genomics and Diagnostics Papers, Class of 2026. https://pri.pepkio.com/top-papers/cancer-genomics-and-diagnostics/2026. Accessed 2026-07-14.

Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459
```