计算机科学
精密医学
类有机物
纳米技术
再生医学
依赖关系(UML)
数据科学
个性化医疗
系统工程
生命系统
系统生物学
新兴技术
边疆
生化工程
生物有机体
工程类
点(几何)
在制品
人类疾病
大数据
神经科学
建筑
生物相容性材料
芯片上器官
系统集成
药物发现
作者
Chenwei Sun,Guohua Wu,Di Wu,Qijun Du,Q. W. Lu,Hu W,Yi-Xiang Wang,Ao Xie,Zipeng Yao,Mengjiao Xia,Haijie Hu,Shuqi Wang
标识
DOI:10.1016/j.bioactmat.2026.06.041
摘要
As micro-scale 3D tissues self-organized from stem cells, organoids can highly recapitulate the cellular composition and complex spatial architecture of human organs, establishing themselves as pivotal physiological models in biomedical research. Although organoids offer significant advantages in mimicking human physiological structures, traditional monitoring methodologies predominantly rely on destructive endpoint assays, which fail to capture the transient fluctuations inherent in biological processes. To overcome this limitation, we propose the sensing-integrated organoid-on-a-chip, a frontier interdisciplinary platform. This review systematically outlines the comprehensive construction of this platform, focusing on the synergistic integration of microenvironmental engineering and real-time sensing technologies. The article provides an in-depth analysis of real-time monitoring facilitated by high-performance electrical, optical, and mechanical sensors to quantify organoid developmental maturation, metabolic fluctuations, and pathological evolution. We emphasize the application potential of this platform across developmental biology, disease modeling, drug screening, and neuroscience exploration. Furthermore, we discuss the integration of closed-loop feedback regulation systems and artificial intelligence-assisted analysis, while outlining the trajectory of this platform toward clinical precision medicine and industrial standardization. We firmly believe that sensing-integrated organoid-on-a-chip platforms will accelerate the advancement of personalized diagnosis and therapeutics, thereby ushering in a new era of dynamic biomedical research and intelligent healthcare.
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