Evidence map›Paper›PMID 41136854›Full record

ReviewAdvances in experimental medicine and biology2025

Development of Stem Cell Data Systems and Associated Data Standards for Cell Therapy.

Yong Zhang, Andreas Kurtz, Hongling Zhao, Lei Wang, Jie Hao, Martin Golebiewski, Glyn N Stacey, Tongbiao Zhao

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 2025. 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

8 authors.

Yong Zhang *Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China.
Andreas KurtzISO/TC 276 Biotechnology/WG 5 Data Processing and Integration, Shanghai, China.
Hongling ZhaoBeijing Institute for Stem Cell and Regenerative Medicine, Beijing, China.
Lei WangBeijing Institute for Stem Cell and Regenerative Medicine, Beijing, China.
Jie HaoBeijing Institute for Stem Cell and Regenerative Medicine, Beijing, China.
Martin GolebiewskiISO/TC 276 Biotechnology/WG 5 Data Processing and Integration, Shanghai, China.
Glyn N Stacey *International Stem Cell Biobanking Initiative, Barley, Hertfordshire, UK.
Tongbiao Zhao *Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China. tbzhao@ioz.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As cell-based therapies near widespread clinical use, robust data management systems are crucial for ensuring safety, efficacy, and regulatory compliance. This chapter reviews the ISO 8472 series, which focuses on data interoperability for stem cell applications, and highlights the complexities of managing clinical, manufacturing, and quality control data. It underscores the need for standardized frameworks to streamline data sharing, analysis, and validation. Additionally, emerging technologies like AI and blockchain are explored for their potential to revolutionize data management, enhance security, and improve automation. Furthermore, this chapter addresses challenges in implementing data standards in cell therapy manufacturing and ensuring transparency. It outlines strategies to foster collaboration among stakeholders, including regulatory bodies, biobanks, CROs, and manufacturers, to drive innovation and scalability. Establishing comprehensive standards and interoperable data systems is essential for building trust and facilitating the commercialization of stem cell therapies.

Indexed as

Cell- and Tissue-Based TherapyStem CellsStem Cell TransplantationHumansQuality ControlCell therapyData interoperabilityStandardsStem cell data systems

Identifiers

PMID41136854

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.