Evidence map›Paper›PMID 42436951›Full record

ReviewBioactive materials2026

Real-time sensing-integrated organoid-on-a-chip platforms: Technological progress and emerging biomedical applications.

Chenwei Sun, Guohua Wu, Di Wu, Qijun Du, Qingrui Lu, Wenqi Hu, Jiashu Wang, Ao Xie, Zipeng Yao, Mengjiao Xia and 2 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Bioactive materials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Chenwei SunCollege of Biomedical Engineering, Sichuan University, Chengdu, 610065, China.
Guohua WuLuoyang Key Laboratory of Clinical Multiomics and Translational Medicine, Henan Key Laboratory of Rare Diseases, Endocrinology and Metabolism Center, The First Affiliated Hospital, College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, China.
Di WuDepartment of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
Qijun DuCollege of Biomedical Engineering, Sichuan University, Chengdu, 610065, China.
Qingrui LuCollege of Biomedical Engineering, Sichuan University, Chengdu, 610065, China.
Wenqi HuCollege of Biomedical Engineering, Sichuan University, Chengdu, 610065, China.
Jiashu WangCollege of Biomedical Engineering, Sichuan University, Chengdu, 610065, China.
Ao XieCollege of Biomedical Engineering, Sichuan University, Chengdu, 610065, China.
Zipeng YaoCollege of Biomedical Engineering, Sichuan University, Chengdu, 610065, China.
Mengjiao XiaTianfu Jincheng Laboratory, City of Future Medicine, Chengdu, 641400, China.
Haijie HuDivision of Biliary Surgery, Department of General Surgery, West China Hospital, Sichuan University, Chengdu, 610041, China.
Shuqi WangCollege of Biomedical Engineering, Sichuan University, Chengdu, 610065, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Clinical precision medicineClosed-loop feedbackMicroenvironmental engineeringOrganoid-on-a-chipReal-time sensing

Identifiers

PMID42436951
PMCPMC13355509

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.