Evidence map›Paper›PMID 28596936›Full record

ReviewCurrent stem cell reports2017

New Bioengineering Breakthroughs and Enabling Tools in Regenerative Medicine.

Alvaro Mata, Helena S Azevedo, Lorenzo Botto, Nuria Gavara, Lei Su

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current stem cell reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

5 authors.

Alvaro MataSchool of Engineering and Materials Science, Institute of Bioengineering, Queen Mary University of London, London, E1 4NS UK.
Helena S AzevedoSchool of Engineering and Materials Science, Institute of Bioengineering, Queen Mary University of London, London, E1 4NS UK.
Lorenzo BottoSchool of Engineering and Materials Science, Institute of Bioengineering, Queen Mary University of London, London, E1 4NS UK.
Nuria GavaraSchool of Engineering and Materials Science, Institute of Bioengineering, Queen Mary University of London, London, E1 4NS UK.
Lei SuSchool of Engineering and Materials Science, Institute of Bioengineering, Queen Mary University of London, London, E1 4NS UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewIn this review, we provide a general overview of recent bioengineering breakthroughs and enabling tools that are transforming the field of regenerative medicine (RM). We focus on five key areas that are evolving and increasingly interacting including mechanobiology, biomaterials and scaffolds, intracellular delivery strategies, imaging techniques, and computational and mathematical modeling. RECENT

findingsMechanobiology plays an increasingly important role in tissue regeneration and design of therapies. This knowledge is aiding the design of more precise and effective biomaterials and scaffolds. Likewise, this enhanced precision is enabling ways to communicate with and stimulate cells down to their genome. Novel imaging technologies are permitting visualization and monitoring of all these events with increasing resolution from the research stages up to the clinic. Finally, algorithmic mining of data and soft matter physics and engineering are creating growing opportunities to predict biological scenarios, device performance, and therapeutic outcomes. SUMMARY: We have found that the development of these areas is not only leading to revolutionary technological advances but also enabling a conceptual leap focused on targeting regenerative strategies in a holistic manner. This approach is bringing us ever more closer to the reality of personalized and precise RM.

Indexed as

BioengineeringBiomaterialsImagingMechanobiologyModelingRegenerative medicine

Identifiers

PMID28596936
PMCPMC5445180

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.