Evidence map›Paper›PMID 39329800›Full record

ReviewBiosensors2024

Revolutionizing Drug Discovery: The Impact of Distinct Designs and Biosensor Integration in Microfluidics-Based Organ-on-a-Chip Technology.

Sheng Yuan, Huipu Yuan, David C Hay, Huan Hu, Chaochen Wang

Abstract readReview
In one paragraph

Review in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Cell-Based Immuno-Biosensors Using Microfluidics.Sensors (Basel, Switzerland) · 2026
    Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
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

5 authors.

Sheng YuanCentre of Biomedical Systems and Informatics, Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), School of Medicine, International Campus, Zhejiang University, Haining 314400, China.
Huipu YuanSir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310020, China.ORCID 0009-0000-2698-2805
David C HayCentre for Regenerative Medicine, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh EH16 4UU, UK.ORCID 0000-0002-7593-5973
Huan HuZhejiang University-University of Illinois Urbana-Champaign Institute (ZJU-UIUC Institute), International Campus, Zhejiang University, Haining 314400, China.ORCID 0000-0002-1317-5470
Chaochen WangCentre of Biomedical Systems and Informatics, Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), School of Medicine, International Campus, Zhejiang University, Haining 314400, China.ORCID 0000-0003-2346-2884

Funding

2024 International Campus Talent Special Plan Fund noneCenter of Pathogen Detection in the Dynamic Research Enterprise for Multidisciplinary Engi-neering Sciences DREMESNational Natural Science Foundation of China 32300674, 32370872Natural Science Foundation of Zhejiang Province, China LQ22C070002
6 · The paper itself

Abstract

Traditional drug development is a long and expensive process with high rates of failure. This has prompted the pharmaceutical industry to seek more efficient drug development frameworks, driving the emergence of organ-on-a-chip (OOC) based on microfluidic technologies. Unlike traditional animal experiments, OOC systems provide a more accurate simulation of human organ microenvironments and physiological responses, therefore offering a cost-effective and efficient platform for biomedical research, particularly in the development of new medicines. Additionally, OOC systems enable quick and real-time analysis, high-throughput experimentation, and automation. These advantages have shown significant promise in enhancing the drug development process. The success of an OOC system hinges on the integration of specific designs, manufacturing techniques, and biosensors to meet the need for integrated multiparameter datasets. This review focuses on the manufacturing, design, sensing systems, and applications of OOC systems, highlighting their design and sensing capabilities, as well as the technical challenges they currently face.

Indexed as

Biosensing TechniquesDrug DiscoveryLab-On-A-Chip DevicesMicrofluidicsAnimalsHumansMicrophysiological Systemsbiomedicinedrug developmentorgan-on-a-chip

Identifiers

PMID39329800
PMCPMC11430660

What OpenQuestion 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 OpenQuestion graph.