Journal of Zhejiang University

Bio-Design and Manufacturing 2026 Vol.9 No.4 P.756 - 781

Artificial intelligence-enabled organoids and organ-on-a-chip for pioneering biomedical platforms

Author(s): Yixu Zhao,Diantong Xie,Hui Liu,Bo Peng,Xiaorui Li,Xudong Wang,Yubing Leng,Jingkai Liu,Tianyu Yang,Hongxin Li,Zizheng Deng,Shiyao Chen,Ruibao Chen,Kairui Sun,Yingran Liu,Yu Wang,Shengtao Zhu,Fuyin Zheng,Yubo Fan
Affiliation(s): 1. Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, National Medical Innovation Platform for Industry-Education Integration in Advanced Medical Devices (Interdiscipline of Medicine and Engineering), School of Biological Science and Medical Engineering & School of Engineering Medicine, Beihang University, Beijing 100083, China more
Corresponding email(s): wangwangdian628@126.com, zhushengtao@ccmu.edu.cn, zfya05604@btch.edu.cn
Key Words: Artificial intelligence, Organoids, Organ-on-a-chip, Organoids-on-a-chip, Microphysiological systems

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Yixu Zhao. Artificial intelligence-enabled organoids and organ-on-a-chip for pioneering biomedical platforms[J]. Journal of Zhejiang University Science D, 2026, 9(4): 756 - 781.

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Abstract
Chinese Summary
Academic Network
Reviewer Comment

Abstract: organoids and organ-on-a-chip (OoC) are two innovations used in biomedical applications for drug evaluation, disease modeling, and precision medicine. These microphysiological systems (MPSs), including integrated OoC, mimic the physiological or pathological conditions in human tissues or organs, overcoming the limitations of conventional cell culture and animal model experiments. The integration of artificial intelligence (AI) with MPS has further enhanced its capabilities, enabling advanced data processing, real-time monitoring, and predictive modeling. This review highlights the applications of AI-enabled organoids and OoC systems in MPS biomedical research, namely improving biomaterial development, spatial and functional optimization, growth factor combinations, and fine-tuning of microenvironmental stimuli. AI can also automate data analysis and enable real-time insights into cellular behavior in OoCs. Finally, we address the challenges and limitations associated with these MPS technologies and highlight future directions for their integration with AI.

人工智能驱动的类器官和器官芯片的先进生物医学平台

类器官和器官芯片（Organ-on-a-chip，OoC）是生物医学应用中用于药物评估、疾病模型和精准医疗的两项创新技术。这些微生理系统（Microphysiological systems，MPSs），包括集成的器官芯片模型，能够模拟人体组织或器官的各种生理或病理状况，克服了传统细胞培养和动物模型实验的局限性。将人工智能（Artificial intelligence，AI）与 MPS 相结合进一步提升了其应用潜力，能够实现先进的数据处理、实时观察和预测建模。本综述重点介绍了基于 AI 的类器官和 OoC 系统在 MPS 生物医学研究中的应用，即用于改进生物材料开发、空间和功能优化、生长因子组合以及微环境刺激等。AI 还可以自动化数据分析，实时监测 OoC 中细胞行为。最后，探讨了这些 MPS 技术所面临的挑战和局限性，并强调了将其与 AI 集成的未来方向。
关键词：人工智能；类器官；器官芯片；类器官芯片；微生理系统