The DOI matches its Crossref record; 294 of the 294 references it cites were found in a registry or an index.
Dealing with the Foreign‐Body Response to Implanted Biomaterials: Strategies and Applications of New Materials
Abstract
Foreign‐body response caused by implanted biomaterials seriously impedes the function of implants and is a major obstacle to the development of implantable biomaterials and medical devices. Recent advances in implantable biomaterials and medical devices have provided strategies to resist the foreign‐body response. In this review, the mechanism of the foreign‐body response and conventional strategies to mitigate foreign‐body response is briefly introduced. Then, three types of promising foreign‐body response resisting materials are focused and the advantages, characteristics, and applications of each material are discussed. Finally, prospects are put forward for future development of foreign‐body response resisting materials and current challenges that require in‐depth study.
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Device integration of electrochemical biosensors
Wu, J., Liu, H., Chen, W., Ma, B., & Ju, H. (2023) · Nature Reviews Bioengineering · doi:10.1038/s44222-023-00032-w · Cited by 895
Foreign body response to synthetic polymer biomaterials and the role of adaptive immunity
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Biomedical Implants with Charge‐Transfer Monitoring and Regulating Abilities
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Metadata
- Authors
- Zhang, D., Chen, Q., Shi, C., Chen, M., Ma, K., Wan, J., & Liu, R.
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2020-10-23
- Volume
- 31
- Issue
- 6
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W3094314302
- Cited by
- 303
- References
- 294
- FWCI
- 9.66
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zhang, D., Chen, Q., Shi, C., Chen, M., Ma, K., Wan, J., & Liu, R. (2021). Dealing with the Foreign‐Body Response to Implanted Biomaterials: Strategies and Applications of New Materials. Advanced Functional Materials. https://doi.org/10.1002/adfm.202007226
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.