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Cited by 502

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

3D Printing Pharmaceuticals: Drug Development to Frontline Care

Open access
Trenfield, Sarah J., Awad, Atheer, Goyanes, Alvaro, Gaisford, Simon, Basit, Abdul W.·2018·Trends in Pharmacological Sciences

Abstract

3D printing (3DP) is forecast to be a highly revolutionary technology within the pharmaceutical sector. In particular, the main benefits of 3DP lie in the production of small batches of medicines, each with tailored dosages, shapes, sizes and release characteristics. The manufacture of medicines in this way may finally lead to the concept of personalised medicines becoming a reality. In the shorter term, 3DP could be extended throughout the drug development process, ranging from preclinical development and clinical trials, through to frontline medical care. In this review, we provide a timely perspective on the motivations and potential applications of 3DP pharmaceuticals, as well as a practical viewpoint on how 3DP could be integrated across the pharmaceutical space.

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Registry

Crossref · 10.1016/j.tips.2018.02.006

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Metadata

Authors
Trenfield, S. J., Awad, A., Goyanes, A., Gaisford, S., & Basit, A. W.
Venue
Trends in Pharmacological Sciences
Publisher
Elsevier BV
Published
2018-05
Volume
39
Issue
5
Pages
440-451
ISSN
0165-6147 (ISSN-L)
OpenAlex
W2790244053
Cited by
502
References
5
FWCI
10.55
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: 3D Printing Pharmaceuticals: Drug Development to Frontline Care. https://app.cochat.ai/papers/10.1016/j.tips.2018.02.006
The paper
Trenfield, S. J., Awad, A., Goyanes, A., Gaisford, S., & Basit, A. W. (2018). 3D Printing Pharmaceuticals: Drug Development to Frontline Care. Trends in Pharmacological Sciences. https://doi.org/10.1016/j.tips.2018.02.006

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.