Toward Timely Diagnosis of Pancreatic Cancer: Revolutionizing Early Detection Through Genomics, Artificial Intelligence, and Noninvasive Biomarkers
The integration of molecular diagnostics, advanced imaging technologies, and AI may enable a paradigm shift in PDAC detection, transitioning from late to early-stage diagnosis and potentially improving survival rates. However, further clinical validation and standardization of these technologies are essential to ensure their widespread clinical adoption. The future of PDAC detection lies in a multimodal, personalized approach, optimizing diagnostic accuracy and early intervention for high-risk individuals.
Authors
- Hai‐Jie Hu (ORCID: https://orcid.org/0000-0003-2871-290X)
- Fu‐Yu Li (ORCID: https://orcid.org/0009-0004-1072-8983)
- Hussain Ma
- Aoqiang Zhai
- Sana Qammar
- Ju‐Mei Wang
Institutions
- Sichuan University (CN)
- Shaikh Zayed Medical College and Hospital (PK)
- West China Hospital of Sichuan University (CN)
Publication Details
- Journal
- Journal of Gastroenterology and Hepatology
- Published
- 2026-02-15
- DOI
- https://doi.org/10.1111/jgh.70281
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00