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Translational deep learning models for risk stratification to predict prognosis and immunotherapy response in gastric cancer using digital pathology.

Title: Translational deep learning models for risk stratification to predict prognosis and immunotherapy response in gastric cancer using digital pathology.
Authors: Nguyen MH; International Ph.D. Program in Cell Therapy and Regenerative Medicine, College of Medicine, Taipei Medical University, Taipei, 110, Taiwan.; Department of Pathology and Forensic Medicine, 103 Military Hospital, Hanoi, Vietnam.; AIBioMed Research Group, Taipei Medical University, Taipei, 110, Taiwan.; Do-Huu HH; University of Science, VNU-HCM, Ho Chi Minh City, Vietnam.; Vietnam National University, Ho Chi Minh City, Vietnam.; Nguyen PT; University of Science, VNU-HCM, Ho Chi Minh City, Vietnam.; Tran ND; Department of Pathology and Forensic Medicine, 103 Military Hospital, Hanoi, Vietnam.; Linh NT; Department of Pathology and Forensic Medicine, 103 Military Hospital, Hanoi, Vietnam.; Le H; Department of Computer Science, University of North Carolina at Charlotte, Charlotte, NC, 28223, USA.; Le NQK; AIBioMed Research Group, Taipei Medical University, Taipei, 110, Taiwan. khanhlee@tmu.edu.tw.; In-Service Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan. khanhlee@tmu.edu.tw.; Translational Imaging Research Center, Taipei Medical University Hospital, Taipei, 110, Taiwan. khanhlee@tmu.edu.tw.
Source: Journal of translational medicine [J Transl Med] 2025 Dec 24; Vol. 23 (1), pp. 1419. Date of Electronic Publication: 2025 Dec 24.
Publication Type: Journal Article
Language: English
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101190741 Publication Model: Electronic Cited Medium: Internet ISSN: 1479-5876 (Electronic) Linking ISSN: 14795876 NLM ISO Abbreviation: J Transl Med Subsets: MEDLINE; In Process
Imprint Name(s): Original Publication: [London] : BioMed Central, 2003-
Competing Interests: Declarations. Consent for publication: Written informed consent was obtained from all participants, and all procedures were conducted in compliance with applicable guidelines and regulations. Conflict of interest: The authors declare no conflicts of interest.
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Contributed Indexing: Keywords: Deep learning; Gastric cancer; Immunotherapeutic response; Prognoses; Whole-slide image
Entry Date(s): Date Created: 20251225 Latest Revision: 20251228
Update Code: 20260130
PubMed Central ID: PMC12729749
DOI: 10.1186/s12967-025-07416-z
PMID: 41444960
Database: MEDLINE

Journal Article