Evidence map›Paper›PMID 34249226›Full record

ReviewWorld journal of stem cells2021

Recent trends in stem cell-based therapies and applications of artificial intelligence in regenerative medicine.

Sayali Mukherjee, Garima Yadav, Rajnish Kumar

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in World journal of stem cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  18. Immortalization Reversibility in the Context of Cell Therapy Biosafety.International journal of molecular sciences · 2023
    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

3 authors.

Sayali MukherjeeAmity Institute of Biotechnology, Amity University Uttar Pradesh, Lucknow 226028, Uttar Pradesh, India.
Garima YadavAmity Institute of Biotechnology, Amity University Uttar Pradesh, Lucknow 226028, Uttar Pradesh, India.
Rajnish KumarAmity Institute of Biotechnology, Amity University Uttar Pradesh, Lucknow 226028, Uttar Pradesh, India. rkumar2@lko.amity.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stem cells are undifferentiated cells that can self-renew and differentiate into diverse types of mature and functional cells while maintaining their original identity. This profound potential of stem cells has been thoroughly investigated for its significance in regenerative medicine and has laid the foundation for cell-based therapies. Regenerative medicine is rapidly progressing in healthcare with the prospect of repair and restoration of specific organs or tissue injuries or chronic disease conditions where the body's regenerative process is not sufficient to heal. In this review, the recent advances in stem cell-based therapies in regenerative medicine are discussed, emphasizing mesenchymal stem cell-based therapies as these cells have been extensively studied for clinical use. Recent applications of artificial intelligence algorithms in stem cell-based therapies, their limitation, and future prospects are highlighted.

Indexed as

Artificial intelligenceMachine learningMesenchymal stem cellsRegenerative medicineStem cellsTherapy

Identifiers

PMID34249226
PMCPMC8246250

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.