Clinical Application Progress of Artificial Intelligence in Pancreatic Cancer: From Diagnosis to Immunotherapy
Zehao Wei, Xuejian Liu, Zheng Zhang, Yimin Ma, Min Xu · 2026
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Description
Zehao Wei and co-authors review a 2026 question: how far can artificial intelligence push pancreatic cancer care, from detection to immunotherapy? Pancreatic cancer kills at high rates, is usually found late, and resists immune treatment because of its dense, suppressive surroundings. The review gathers recent work on AI tools across that whole arc.
Covered uses include characterizing the tumor immune environment, predicting mutation profiles, designing nanomedicines, and tracking how patients respond over time. The authors describe how AI can fuse single-cell sequencing with multi-omics data to attack immunotherapy bottlenecks. They also weigh technical hurdles still blocking routine clinical use. Their aim is a practical foundation for precision immunotherapy in this hard-to-treat cancer.
Catalog record
| CREATOR | Zehao Wei, Xuejian Liu, Zheng Zhang, Yimin Ma, Min Xu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 44471 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |