Machine Learning for Composite Biomaterials in Bone Implants and Scaffolds: A Systematic Review of Manufacturing and the Process–Structure–Property–Performance Relationships

Anima Naik, Amit Kumar Mehar

Open source

DOI: 10.1002/jbm.b.70177
Published: 2026-10-30
Container: Journal of Biomedical Materials Research Part B: Applied Biomaterials
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/jbm.b.70177,
  title = {Machine Learning for Composite Biomaterials in Bone Implants and Scaffolds: A Systematic Review of Manufacturing and the Process–Structure–Property–Performance Relationships},
  author = {Anima Naik and Amit Kumar Mehar},
  year = {2026},
  journal = {Journal of Biomedical Materials Research Part B: Applied Biomaterials},
  doi = {10.1002/jbm.b.70177},
  url = {https://doi.org/10.1002/jbm.b.70177}
}

RIS

TY  - JOUR
TI  - Machine Learning for Composite Biomaterials in Bone Implants and Scaffolds: A Systematic Review of Manufacturing and the Process–Structure–Property–Performance Relationships
AU  - Anima Naik
AU  - Amit Kumar Mehar
PY  - 2026
JO  - Journal of Biomedical Materials Research Part B: Applied Biomaterials
DO  - 10.1002/jbm.b.70177
UR  - https://doi.org/10.1002/jbm.b.70177
ER  -

APA

Naik, A., & Mehar, A. K. (2026). Machine Learning for Composite Biomaterials in Bone Implants and Scaffolds: A Systematic Review of Manufacturing and the Process–Structure–Property–Performance Relationships. Journal of Biomedical Materials Research Part B: Applied Biomaterials. https://doi.org/10.1002/jbm.b.70177

Source records

crossref · retrieved 2026-11-04T06:49:37.071Z