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消化系统疾病类器官的构建应用及其与人工智能整合的研究进展

杨蕊馨 于颖彦

上海交通大学学报(医学版)2026,Vol.46Issue(8):997-1006,10.
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上海交通大学学报(医学版)2026,Vol.46Issue(8):997-1006,10.DOI:10.3969/j.issn.1674-8115.2026.08.001

消化系统疾病类器官的构建应用及其与人工智能整合的研究进展

Research progress in the construction and application of digestive system disease organoids and their integration with artificial intelligence

杨蕊馨 1于颖彦1

作者信息

  • 1. 上海交通大学医学院附属瑞金医院普外科,上海消化外科研究所暨上海市胃肿瘤重点实验室,上海 200025
  • 折叠

摘要

Abstract

As a novel in vitro three-dimensional culture model,organoids,with their high self-organizing ability,can recapitulate the morphological structures,pathophysiological functions,genetic variation profiles,and drug treatment responsiveness of their parental tissues.Compared with traditional animal models,organoids have the characteristics of short preparation cycle,low cost,less ethical controversy and high throughput.They are currently widely applied in biomedical research.Patient-derived organoid models retain the heterogeneity of their tissues of origin,can be continuously expanded and passaged in vitro over the long term,and maintain cell viability after cryopreservation and resuscitation.These characteristics provide a valuable platform for human disease modeling and demonstrate significant application value in exploring pathogenesis,screening novel drugs,and predicting drug sensitivity.The intervention of artificial intelligence(AI)has further enhanced the automation and standardization in the construction and application of organoids.This article systematically summarizes the research progress of organoids related to benign and malignant diseases of the digestive system,with particular emphasis on optimization strategies for constructing organoids derived from different organs and tissues.The paper also introduces the collection methods for digestive system tumor samples and the impact of neoadjuvant therapy on organoid construction.In addition,the article summarizes the advances of AI algorithms in organoid construction and applications,including AI-assisted organoid morphological characterization,cell viability assessment,drug sensitivity prediction,and the development of AI-integrated automated organoid platforms.In the future,AI will play a significant role in organoid construction for digestive system disease organoids and their diverse application scenarios,providing strong support for translational applications such as disease modeling,molecular target discovery,drug screening,and elucidation of drug resistance mechanisms.

关键词

消化系统疾病/类器官/精准医疗/人工智能/新方法学

Key words

digestive system disease/organoid/precision medicine/artificial intelligence(AI)/new approach methodology(NAM)

分类

医药卫生

引用本文复制引用

杨蕊馨,于颖彦..消化系统疾病类器官的构建应用及其与人工智能整合的研究进展[J].上海交通大学学报(医学版),2026,46(8):997-1006,10.

基金项目

国家自然科学基金(82473013) (82473013)

上海市科学技术委员会项目(25DZ2200200,20DZ2201900,18411953100) (25DZ2200200,20DZ2201900,18411953100)

教育部-上海市生物医药临床研究与转化协同创新中心项目(CCTS-2022202,CCTS-202302) (CCTS-2022202,CCTS-202302)

中国博士后科学基金(2025M782160). National Natural Science Foundation of China(82473013) (2025M782160)

Project of Shanghai Municipal Commission of Science and Technology(25DZ2200200,20DZ2201900,18411953100) (25DZ2200200,20DZ2201900,18411953100)

Collaborative Innovation Center for Clinical and Translational Science by Chinese Ministry of Education&Shanghai(CCTS-2022202,CCTS-202302) (CCTS-2022202,CCTS-202302)

China Postdoctoral Science Foundation(2025M782160). (2025M782160)

上海交通大学学报(医学版)

1674-8115

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