Integration of pathomics and single-cell omics in pancreatic ductal adenocarcinoma: Applications and clinical translation prospects

doi:10.5306/wjco.v17.i5.119864

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World Journal of Clinical Oncology

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2218-4333

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Clin Oncol. May 24, 2026; 17(5): 119864
Published online May 24, 2026. doi: 10.5306/wjco.v17.i5.119864

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Figure 1 Workflow for artificial intelligence-based prognostic analysis using histopathological whole-slide images. CNNs: Convolutional neural networks.

Citation: Yan X, Xu HY, Liu JW, Yang ZY, Zhu Q. Integration of pathomics and single-cell omics in pancreatic ductal adenocarcinoma: Applications and clinical translation prospects. World J Clin Oncol 2026; 17(5): 119864
URL: https://www.wjgnet.com/2218-4333/full/v17/i5/119864.htm
DOI: https://dx.doi.org/10.5306/wjco.v17.i5.119864

Yan X, Xu HY, Liu JW, Yang ZY, Zhu Q. Integration of pathomics and single-cell omics in pancreatic ductal adenocarcinoma: Applications and clinical translation prospects. World J Clin Oncol 2026; 17(5): 119864 [DOI: 10.5306/wjco.v17.i5.119864]

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