smart drug delivery
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2022 ◽  
pp. 393-412
Author(s):  
Mahavir Narwade ◽  
Virendra Gajbhiye ◽  
Kavita R. Gajbhiye

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Won Jung Kim ◽  
Yong-Jin Kwon ◽  
Chung-Hyun Cho ◽  
Sang-Kyu Ye ◽  
Kyu Oh Kim

Nanomaterials ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 2790
Author(s):  
Lina Jia ◽  
Peng Zhang ◽  
Hongyan Sun ◽  
Yuguo Dai ◽  
Shuzhang Liang ◽  
...  

Nanoparticle delivery systems have good application prospects in the treatment of various diseases, especially in cancer treatment. The effect of drug delivery is regulated by the properties of nanoparticles. There have been many studies focusing on optimizing the structure of nanoparticles in recent years, and a series of achievements have been made. This review summarizes the optimization strategies of nanoparticles from three aspects—improving biocompatibility, increasing the targeting efficiency of nanoparticles, and improving the drug loading rate of nanoparticles—aiming to provide some theoretical reference for the subsequent drug delivery of nanoparticles.


2021 ◽  
Vol 11 (5-S) ◽  
pp. 131-137
Author(s):  
Ahmar Khan ◽  
Mir Javid Iqbal ◽  
Saima Amin ◽  
Humaira Bilal ◽  
, Bilquees ◽  
...  

With the approval of first 3D printed drug “spritam” by USFDA, 3D printing is gaining acceptance in healthcare, engineering and other aspects of life. Taking 3D printing towards the next step gives birth to what is referred to as “4D printing”. The full credit behind the unveiling of 4D printing technology in front of the world goes to Massachusetts Institute of Technology (MIT), who revealed “time” in this technology as the fourth dimension.  4D printing is a renovation of 3D printing wherein special materials (referred to as smart materials) are incorporated which change their morphology post printing in response to a stimulus. Depending upon the applicability of this technology, there may be a variety of stimuli, most common among them being pH, water, heat, wind and other forms of energy.  The upper hand of 4D printing over 3D printing is that 3D printed structures are generally immobile, rigid and inanimate whereas 4D printed structures are flexible, mobile and able to interact with the surrounding environment based on the stimulus. This capability of 4D printing to transform 3D structures into smart structures in response to various stimuli promises a great potential for biomedical and bioengineering applications. The potential of 4D printing in developing pre-programmed biomaterials that can undergo transformations lays new foundations for enabling smart pharmacology, personalized medicine, and smart drug delivery, all of which can help in combating diseases in a smarter way. Hence, the theme of this paper is about the potential of 4D printing in creating smart drug delivery, smart pharmacology, targeted drug delivery and better patient compliance. The paper highlights the recent advancements of 4D printing in healthcare sector and ways by which 4D printing is doing wonders in creating smart drug delivery and tailored medicine. The major constraints in the approach have also been highlighted. Keywords: 4D printing, smart, drug delivery system, patient compliance, biomaterials, tailored medicine


2021 ◽  
Author(s):  
Gjylije Hoti ◽  
Silvia Lucia Appleton ◽  
Alberto Rubin Pedrazzo ◽  
Claudio Cecone ◽  
Adrián Matencio ◽  
...  

In recent years, the development of various cyclodextrin (CD)-based nanosponges (NSs) has gained great importance in the controlled and-or targeted release of drugs due to their versatility and simple preparation. In this chapter, an introduction of different administration routes is explained. Further, different ways to obtain CD-NSs and their classification are shown with a brief explanation of the characterization of the inclusion complexes. Finally, illustrative examples in diverse processes or diseases will be reviewed and explained to demonstrate the potential of CD-NSs. Therefore, this division will serve to compile information on CD-NSs in recent years and to illustrate to readers how to generate and apply different derivatives of interest.


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