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Cited by 353

The DOI matches its Crossref record; 319 of the 319 references it cites were found in a registry or an index.

Drug delivery systems for programmed and on-demand release

Open access
Davoodi, Pooya, Lee, Lai Yeng, Xu, Qingxing, Sunil, Vishnu, Sun, Yajuan, Soh, Siowling, Wang, Chi-Hwa·2018·Advanced Drug Delivery Reviews
DOI 10.1016/j.addr.2018.07.002
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Abstract

&NA; With the advancement in medical science and understanding the importance of biodistribution and pharmacokinetics of therapeutic agents, modern drug delivery research strives to utilize novel materials and fabrication technologies for the preparation of robust drug delivery systems to combat acute and chronic diseases. Compared to traditional drug carriers, which could only control the release of the agents in a monotonic manner, the new drug carriers are able to provide a precise control over the release time and the quantity of drug introduced into the patient's body. To achieve this goal, scientists have introduced “programmed” and “on‐demand” approaches. The former provides delivery systems with a sophisticated architecture to precisely tune the release rate for a definite time period, while the latter includes systems directly controlled by an operator/practitioner, perhaps with a remote device triggering/affecting the implanted or injected drug carrier. Ideally, such devices can determine flexible release pattern and intensify the efficacy of a therapy via controlling time, duration, dosage, and location of drug release in a predictable, repeatable, and reliable manner. This review sheds light on the past and current techniques available for fabricating and remotely controlling drug delivery systems and addresses the application of new technologies (e.g. 3D printing) in this field.

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Metadata

Authors
Davoodi, P., Lee, L. Y., Xu, Q., Sunil, V., Sun, Y., Soh, S., & Wang, C.-H.
Venue
Advanced Drug Delivery Reviews
Publisher
Elsevier BV
Published
2018-07
Volume
132
Pages
104-138
ISSN
0169-409X (ISSN-L)
DOI
10.1016/j.addr.2018.07.002
OpenAlex
W2814055587
Cited by
353
References
319
FWCI
2.88
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Drug delivery systems for programmed and on-demand release. https://app.cochat.ai/papers/10.1016/j.addr.2018.07.002
The paper
Davoodi, P., Lee, L. Y., Xu, Q., Sunil, V., Sun, Y., Soh, S., & Wang, C.-H. (2018). Drug delivery systems for programmed and on-demand release. Advanced Drug Delivery Reviews. https://doi.org/10.1016/j.addr.2018.07.002

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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.