Evidence map›Paper›PMID 32766229›Full record

ReviewFrontiers in bioengineering and biotechnology2020

Automation, Monitoring, and Standardization of Cell Product Manufacturing.

Meletios-Nikolaos Doulgkeroglou, Alessia Di Nubila, Bastian Niessing, Niels König, Robert H Schmitt, Jackie Damen, Stephen J Szilvassy, Wing Chang, Lynn Csontos, Sharon Louis and 4 more

Abstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

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  14. Development of Automated Systems for Cell Therapy.Advances in experimental medicine and biology · 2025
    Review
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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

14 authors.

Meletios-Nikolaos DoulgkeroglouRegenerative, Modular & Developmental Engineering Laboratory, National University of Ireland Galway, Galway, Ireland.
Alessia Di NubilaRegenerative, Modular & Developmental Engineering Laboratory, National University of Ireland Galway, Galway, Ireland.
Bastian NiessingFraunhofer Institute for Production Technology, Aachen, Germany.
Niels KönigFraunhofer Institute for Production Technology, Aachen, Germany.
Robert H SchmittProduction Engineering Cluster, RWTH Aachen University, Aachen, Germany.
Jackie DamenSTEMCELL Technologies Inc., Vancouver, BC, Canada.
Stephen J SzilvassySTEMCELL Technologies Inc., Vancouver, BC, Canada.
Wing ChangSTEMCELL Technologies Ltd., Cambridge, United Kingdom.
Lynn CsontosSTEMCELL Technologies Ltd., Cambridge, United Kingdom.
Sharon LouisSTEMCELL Technologies Inc., Vancouver, BC, Canada.
Patrick KugelmeierKugelmeiers Ltd., Zollikerberg, Switzerland.
Vincent RonfardCollege System of Pharmacy, University of North Texas Health Science Center, Fort Worth, TX, United States.
Yves BayonMedtronic - Sofradim Production, Trévoux, France.
Dimitrios I ZeugolisRegenerative, Modular & Developmental Engineering Laboratory, National University of Ireland Galway, Galway, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although regenerative medicine products are at the forefront of scientific research, technological innovation, and clinical translation, their reproducibility and large-scale production are compromised by automation, monitoring, and standardization issues. To overcome these limitations, new technologies at software (e.g., algorithms and artificial intelligence models, combined with imaging software and machine learning techniques) and hardware (e.g., automated liquid handling, automated cell expansion bioreactor systems, automated colony-forming unit counting and characterization units, and scalable cell culture plates) level are under intense investigation. Automation, monitoring and standardization should be considered at the early stages of the developmental cycle of cell products to deliver more robust and effective therapies and treatment plans to the bedside, reducing healthcare expenditure and improving services and patient care.

Indexed as

biorectorscell therapymanufacturingmonitoringscalabilityspheroid culture

Identifiers

PMID32766229
PMCPMC7381146

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.