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Model-Assisted Prioritization of Gelatin Methacryloyl (GelMA) Hydrogel Formulations for Three-Dimensional Cell Culture.

Model-Assisted Prioritization of Gelatin Methacryloyl (GelMA) Hydrogel Formulations for Three-Dimensional Cell Culture.

期刊: ACS applied materials & interfaces 日期: 2026-08-05 PMID: 42560781 DOI: 10.1021/acsami.6c11606 浏览: 12
作者: Yin P, Wang X, Liu S, Huang Y, Huang M, Zhang Y, Peng R, Sun J, Wu Y, Wang L
P, Y., X, W., S, L., Y, H., M, H., Y, Z., R, P., J, S., Y, W., & L, W. (2026). Model-Assisted Prioritization of Gelatin Methacryloyl (GelMA) Hydrogel Formulations for Three-Dimensional Cell Culture.. ACS applied materials & interfaces. https://doi.org/10.1021/acsami.6c11606
P Y, X W, S L, Y H, M H, Y Z, et al. Model-Assisted Prioritization of Gelatin Methacryloyl (GelMA) Hydrogel Formulations for Three-Dimensional Cell Culture.. ACS applied materials & interfaces. 2026; doi: 10.1021/acsami.6c11606
P Y, X W, S L, et al. Model-Assisted Prioritization of Gelatin Methacryloyl (GelMA) Hydrogel Formulations for Three-Dimensional Cell Culture.[J]. ACS applied materials & interfaces. 2026. DOI: 10.1021/acsami.6c11606.
@article{p2026,
  author = {Yin P and Wang X and Liu S and Huang Y and Huang M and Zhang Y and Peng R and Sun J and Wu Y and Wang L},
  title = {Model-Assisted Prioritization of Gelatin Methacryloyl (GelMA) Hydrogel Formulations for Three-Dimensional Cell Culture.},
  journal = {ACS applied materials & interfaces},
  year = {2026},
  doi = {10.1021/acsami.6c11606},
  note = {PMID: 42560781},
}
TY  - JOUR
AU  - Yin P
AU  - Wang X
AU  - Liu S
AU  - Huang Y
AU  - Huang M
AU  - Zhang Y
AU  - Peng R
AU  - Sun J
AU  - Wu Y
AU  - Wang L
TI  - Model-Assisted Prioritization of Gelatin Methacryloyl (GelMA) Hydrogel Formulations for Three-Dimensional Cell Culture.
T2  - ACS applied materials & interfaces
PY  - 2026
DO  - 10.1021/acsami.6c11606
AN  - PMID:42560781
ER  - 

摘要

Owing to highly tunable mechanics, gelatin methacryloyl (GelMA) hydrogels are widely exploited for three-dimensional (3D) cell culture, whereas limited experimental sampling restricts efficient formulation screening. In this work, we developed a BNN-based modeling pipeline to map GelMA hydrogels with various cross-linking parameters toward linear viscoelastic moduli and nonlinear critical stress, thereby categorizing all tested formulations into low/intermediate/high stable mechanical windows. Calibration on C2C12 myoblast morphologies confirmed that nonlinear critical stress complements linear rheological parameters to refine the screening priority of cell-compatible hydrogel recipes. Subsequent validation with primary cardiomyocytes demonstrated consistent morphological trends matching the predefined mechanical windows, alongside ambiguous boundary formulations. Our findings construct a bounded prioritization strategy to rapidly select GelMA compositions under sparse experimental conditions, with further prospective validations demanded before generalized predictive use for diverse tissue engineering scenarios.

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