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Record W4400873940 · doi:10.1080/17452759.2024.2378003

A review of the current state of the art in gelatin methacryloyl-based printing inks in bone tissue engineering

2024· review· en· W4400873940 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueVirtual and Physical Prototyping · 2024
Typereview
Languageen
FieldEngineering
Topic3D Printing in Biomedical Research
Canadian institutionsnot available
FundersUnitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si InovariiOntario Ministry of Research, Innovation and Science
KeywordsGelatinTissue engineeringMaterials scienceCurrent (fluid)State of artEngineering drawingPolymer scienceBiomedical engineeringProcess engineeringEngineeringBiochemical engineeringChemistryElectrical engineering

Abstract

fetched live from OpenAlex

Achieving efficient scaffolds for bone tissue engineering (TE) requires smartly defined parameters for reaching a balance between physical–chemical properties, biocompatibility and complex architectures. Three-dimensional (3D) printing offers precise geometry control of the desired scaffold at micro-scale. However, the performance of 3D printing is highly dependent on the formulation, the challenge being to achieve the suitable ink and establish the most efficient printing parameters. Gelatin methacryloyl (GelMA) emerges as a promising ink due to superior biological properties, photocrosslinking ability and printability. The present review focuses on the evolution of GelMA-based inks and bioinks from the simplest to the most advanced multicomponent formulations capable of bone tissue regeneration. Additionally, a comparative analysis between the different photoinitiators is covered, indicating each one's advantages and disadvantages. Furthermore, the main printing and bioprinting methods that are used in GelMA printing are outlined with the required parameters and their influence on the final product performance.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.790
Threshold uncertainty score0.857

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.340
Teacher spread0.311 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it