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Cited by 226

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Biomaterials to Mimic and Heal Connective Tissues

Open access
Freedman, Benjamin R., Mooney, David J.·2019·Advanced Materials

Abstract

Connective tissue is one of the four major types of animal tissue and plays essential roles throughout the human body. Genetic factors, aging, and trauma all contribute to connective tissue dysfunction and motivate the need for strategies to promote healing and regeneration. The goal here is to link a fundamental understanding of connective tissues and their multiscale properties to better inform the design and translation of novel biomaterials to promote their regeneration. Major clinical problems in adipose tissue, cartilage, dermis, and tendon are discussed that inspire the need to replace native connective tissue with biomaterials. Then, multiscale structure–function relationships in native soft connective tissues that may be used to guide material design are detailed. Several biomaterials strategies to improve healing of these tissues that incorporate biologics and are biologic‐free are reviewed. Finally, important guidance documents and standards (ASTM, FDA, and EMA) that are important to consider for translating new biomaterials into clinical practice are highligted.

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Crossref · 10.1002/adma.201806695

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Metadata

Authors
Freedman, B. R., & Mooney, D. J.
Venue
Advanced Materials
Publisher
Wiley
Published
2019-03-25
Volume
31
Issue
19
Pages
e1806695-e1806695
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W2924996440
Cited by
226
References
25
FWCI
21.61
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Biomaterials to Mimic and Heal Connective Tissues. https://app.cochat.ai/papers/10.1002/adma.201806695
The paper
Freedman, B. R., & Mooney, D. J. (2019). Biomaterials to Mimic and Heal Connective Tissues. Advanced Materials. https://doi.org/10.1002/adma.201806695

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.