Evidence map›Paper›PMID 30964652›Full record

ArticleACS sensors2019

Monitoring of Microphysiological Systems: Integrating Sensors and Real-Time Data Analysis toward Autonomous Decision-Making.

Ashlyn T Young, Kristina R Rivera, Patrick D Erb, Michael A Daniele

Abstract read
In one paragraph

Article in ACS sensors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
  2. Review
  3. Development of a sensor-compatible vascular microphysiological system for metabolic monitoring during drug-induced endothelial injury.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025
    Article
  4. Review
  5. AI: the Apollo guidance computer of the Exposome moonshot.Frontiers in artificial intelligence · 2025
    Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. In-Line Microelectrode Arrays for Impedance Mapping of Microphysiological Systems.Proceedings of IEEE Sensors. IEEE International Conference on Sensors · 2020
    Article
  20. Review
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

4 authors.

Ashlyn T YoungJoint Department of Biomedical Engineering , North Carolina State University and University of North Carolina, Chapel Hill , 911 Oval Drive , Raleigh , North Carolina 27695 , United States.
Kristina R RiveraJoint Department of Biomedical Engineering , North Carolina State University and University of North Carolina, Chapel Hill , 911 Oval Drive , Raleigh , North Carolina 27695 , United States.
Patrick D ErbJoint Department of Biomedical Engineering , North Carolina State University and University of North Carolina, Chapel Hill , 911 Oval Drive , Raleigh , North Carolina 27695 , United States.
Michael A DanieleJoint Department of Biomedical Engineering , North Carolina State University and University of North Carolina, Chapel Hill , 911 Oval Drive , Raleigh , North Carolina 27695 , United States.ORCID 0000-0002-2016-4091

Funding

Pre-doctoral Training Program in Integrative Vascular BiologyT32HL069768 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Christopher P. Mack · 2002 to 2026
$9.7M
Magnitude and Duration of Hypoxia Direct Intestinal Stem Cell FunctionF31DK118859 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RIVERA, KRISTINA · 2018 to 2018
$30k
NHLBI NIH HHS T32 HL069768NIDDK NIH HHS F31 DK118859
6 · The paper itself

Abstract

Microphysiological systems replicate human organ function and are promising technologies for discovery of translatable biomarkers, pharmaceuticals, and regenerative therapies. Because microphysiological systems require complex microscale anatomical structures and heterogeneous cell populations, a major challenge remains to manufacture and operate these products with reproducible and standardized function. In this Perspective, three stages of microphysiological system monitoring, including process, development, and function, are assessed. The unique features and remaining technical challenges for the required sensors are discussed. Monitoring of microphysiological systems requires nondestructive, continuous biosensors and imaging techniques. With such tools, the extent of cellular and tissue development, as well as function, can be autonomously determined and optimized by correlating physical and chemical sensor outputs with markers of physiological performance. Ultimately, data fusion and analyses across process, development, and function monitors can be implemented to adopt microphysiological systems for broad research and commercial applications.

Indexed as

Data AnalysisHumansLab-On-A-Chip DevicesMachine LearningMicrochip Analytical ProceduresMonitoring, Physiologicbiosensorcyber-physical systemdatamicrophysiological system (MPS)organ-on-chipreal-time analysis

Identifiers

PMID30964652
PMCPMC6876853

What OpenQuestion holds

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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.