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Characterization and Machine Learning-Driven Property Prediction of a Novel Hybrid Hydrogel Bioink Considering Extrusion-Based 3D Bioprinting

Gels(2025)10.3390/gels11010045Source: DataRank Database

Characterization and Machine Learning-Driven Property Prediction of a Novel Hybrid Hydrogel Bioink Considering Extrusion-Based 3D Bioprinting is a research paper published in Gels (2025). On theSindex it has a DataRank of 0. It has been cited 28 times.

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Open Access28 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (4 grants)OA: goldTopics (17)IDs (PubMed)

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Authors (6)

Kory Schimmelpfennig ORCID,Riley Rohauer,Christopher L. Lewis ORCID,Shah Limon ORCID,Ahasan Habib ORCID

Live enrichment

PubMed:23304386

National Science Foundation Award

Grant: #1757371

National Science Foundation Award

Grant: #P20GM103506

National Science Foundation

Grant: 1757371

RII-Track 1: New Hampshire Center for Multiscale Modeling and Manufacturing of Biomaterials (NH Bio-Made)

National Institutes of Health

Grant: 2P20GM103506-06

Administrative Core

goldLicense: cc-by

publisherhttps://www.mdpi.com/2310-2861/11/1/45/pdf?version=1736248797

publisherhttps://www.mdpi.com/2310-2861/11/1/45/pdf

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11765179/pdf/gels-11-00045.pdf

repositoryhttps://doaj.org/article/572767c69a584faab5d8276490356fe5

https://doi.org/10.3390/gels11010045

Fields of Study

0206 medical engineering02 engineering and technology

Keywords

ScienceQGeneral. Including alchemybioink viscosityArticleChemistrymachine learningQD1-65hydrogel compositesextrusion-based bioprintingrheologypredictive modelingQD1-999Inorganic chemistryQD146-197