Evidence map›Paper›PMID 40473909›Full record

ArticleAnnals of biomedical engineering2025

Enhancing Bone Scaffold Fabrication: A Comparative Study of Manual Casting and Automated 3D Bioprinting.

Yasser Ahmed, Ali S Alshami, Ashraf Al-Goraee, Collins P Obeng, Rebecca Kennedy, Hesham Abdelaziz, Ryan Striker

Abstract readComparative Study
In one paragraph

Article in Annals of biomedical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Yasser AhmedBiomedical Engineering Department, University of North Dakota, Grand Forks, ND, 58202, USA.
Ali S AlshamiDepartment of Chemical Engineering, University of North Dakota, Grand Forks, ND, 58202, USA. yasser.ahmed@und.edu.ORCID http://orcid.org/0000-0003-3266-6870
Ashraf Al-GoraeeBiomedical Engineering Department, University of North Dakota, Grand Forks, ND, 58202, USA.
Collins P ObengBiomedical Engineering Department, University of North Dakota, Grand Forks, ND, 58202, USA.
Rebecca KennedyBiomedical Engineering Department, University of North Dakota, Grand Forks, ND, 58202, USA.
Hesham AbdelazizDepartment of Chemical Engineering, University of North Dakota, Grand Forks, ND, 58202, USA.
Ryan StrikerBiomedical Engineering Department, University of North Dakota, Grand Forks, ND, 58202, USA.

Funding

The role of class IIa Hdac in regulating cell fate choice in early cortical development.P20GM104360 · NIGMS · UNIVERSITY OF NORTH DAKOTA · PI ROCHE, BENJAMIN · 2013 to 2023
$21.1M
Tracking and Evaluation CoreU54GM128729 · NIGMS · UNIVERSITY OF NORTH DAKOTA · PI BASSON, MARC D. · 2018 to 2022
$20.3M
Yersina perstis interactions with macrophagesP20GM113123 · NIGMS · UNIVERSITY OF NORTH DAKOTA · PI COMBS, COLIN K · 2016 to 2025
$19.9M
National Institute for Health Care Management Foundation 5P20GM104360NIGMS NIH HHS P20 GM104360NIGMS NIH HHS P20 GM113123NIGMS NIH HHS U54 GM128729North Dakota Established Program to Stimulate Competitive Research FAR0023660
6 · The paper itself

Abstract

While fabrication of bone scaffolds is important for the development of tissue engineering, traditional techniques have typically been prone to either scaling or reproducibility issues. This paper highlights a strategy for automated 3D printing and bioprinting techniques that enhance precision and efficiency in the production of PLGA-HA scaffolds. We realized significant improvements in efficiency, reproducibility, and scalability through optimization of 3D printing parameters, improvement of material handling, and refinement of the fabrication process. Precise measurement consequently minimized material waste; the introduction of a mesh filter allowed for high-throughput experimentation without compromising the integrity of individual scaffolds, streamlining the workflow. Combining automated casting with state-of-the-art 3D bioprinting, our experimental methodology precisely applied the bioactive materials, reducing the processing time fivefold and enhancing precision. Besides, automated casting produced thicker, better-quality scaffolds averaging 0.02354 g, which is against 0.01169 g using the manual approach, effectively doubling the retention of the PLGA-HA coating on a PVA mold. Excellent cell viability and adhesion on automated scaffolds have been further underlined for application in tissue engineering during in vitro studies using multipotent mesenchymal stromal cells. Although conventional techniques, such as injection molding, are standard for large lots, 3D printing has advantages in scaffold fabrication regarding control over geometry and homogeneous material properties. Equally important, these characteristics are necessary to achieve repeatable and up-scaled experimental results.

Indexed as

BioprintingMesenchymal Stem CellsPrinting, Three-DimensionalTissue EngineeringTissue ScaffoldsDurapatiteHumansLactic AcidPolyglycolic AcidPolylactic Acid-Polyglycolic Acid CopolymerDurapatiteLactic AcidPolyglycolic AcidPolylactic Acid-Polyglycolic Acid Copolymer3D printingAutomationBioprintingBone regenerationIn vitroTissue engineering

Identifiers

PMID40473909
PMCPMC12391189

What OpenQuestion holds

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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.