Drug Delivery Systems: Possibilities and Challenges

Spitler, Ryan; Zanganeh, Saeid; Jafari, Tahereh; Khakpash, Nasser; Erfanzadeh, Mohsen; Ho, Jim Q.; Sakhaie, Nastaran

doi:10.1142/9789813201057_0001

Cited by 5 publications

(3 citation statements)

References 104 publications

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“…DDS includes two main components: a carrier and a drug, and its optimal properties are controlled by careful selection of these components. 6 To date, numerous DDSs have been created that can reduce side effects and increase therapeutic efficacy. 7–9 Thus, a variety of inorganic materials were used, including carbon (nanotube, nanodiamond, graphene), 10,11 magnetic nanoparticles (NPs) of iron oxide, 12,13 mesoporous silica nanoparticles (MSNPs), 14,15 gold (gold nanorod, nanocage, and NP), 16,17 and rare earth upconversion nanoparticles.…”

Section: Introductionmentioning

confidence: 99%

Recent advances in metallopolymer-based drug delivery systems

et al. 2019

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Section: Introductionmentioning

confidence: 99%

Recent advances in metallopolymer-based drug delivery systems

et al. 2019

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“…Like any new advances, drug delivery systems using NPs is at a beginning state but with a promising future. Novel nanotechnology approaches are continuously investigated to enhance drug delivery; however, there are still a significant amount of challenges, such as (a) limited knowledge about NPs components and characteristics, (b) lack of uniformity of toxicity, (c) lacking standardized model systems and assays, (d) non-availability of standard protocols for synthesis; (e) lacking in efficient and advanced analytical tools; (f) gaps in understanding how NPs may impact or interact with biological systems; (g) unavailability of in vivo monitoring systems, and (h) no standardized safety guidelines (33). Thus, artificial intelligence has great potential to address some of these challenges and improve targeted drug delivery.…”

Section: Targeted Drug Delivery Methods For Cancer Treatmentmentioning

confidence: 99%

Nanoparticles and convergence of artificial intelligence for targeted drug delivery for cancer therapy: Current progress and challenges

Das

Chandra

2023

Front. Med. Technol.

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Cancer is a life-threatening disease, resulting in nearly 10 million deaths worldwide. There are various causes of cancer, and the prognostic information varies in each patient because of unique molecular signatures in the human body. However, genetic heterogeneity occurs due to different cancer types and changes in the neoplasms, which complicates the diagnosis and treatment. Targeted drug delivery is considered a pivotal contributor to precision medicine for cancer treatments as this method helps deliver medication to patients by systematically increasing the drug concentration on the targeted body parts. In such cases, nanoparticle-mediated drug delivery and the integration of artificial intelligence (AI) can help bridge the gap and enhance localized drug delivery systems capable of biomarker sensing. Diagnostic assays using nanoparticles (NPs) enable biomarker identification by accumulating in the specific cancer sites and ensuring accurate drug delivery planning. Integrating NPs for cancer targeting and AI can help devise sophisticated systems that further classify cancer types and understand complex disease patterns. Advanced AI algorithms can also help in biomarker detection, predicting different NP interactions of the targeted drug, and evaluating drug efficacy. Considering the advantages of the convergence of NPs and AI for targeted drug delivery, there has been significantly limited research focusing on the specific research theme, with most of the research being proposed on AI and drug discovery. Thus, the study's primary objective is to highlight the recent advances in drug delivery using NPs, and their impact on personalized treatment plans for cancer patients. In addition, a focal point of the study is also to highlight how integrating AI, and NPs can help address some of the existing challenges in drug delivery by conducting a collective survey.

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“…Liposomes are self-collecting and it can deliver either hydrophilic or hydrophobic treatments which are put away in their unfilled cores. [41][42][43] Liposomes planned likewise to carry a bio molecule like monoclonal antibodies and antigens that are conjugated to their surface as ligands. Nano formulations of existing medications with low bioavailability or high toxicity have profited by the stability and improved bio distribution that liposomes give.…”

Section: Liposomesmentioning

confidence: 99%

Nanoparticle a Targeted Drug Delivery System: An Overview

Kumar¹,

Kumar²,

Srinivasan³

et al. 2019

Int Res J Pharm

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Nanoparticles are of existing significance as a result of a potential tolerating of their possible consequences for individual prosperity and upbringing maintainability and because of the expanding yield of manufactured nanoparticles into the circumstance. Nanoparticles are utilized as a considerable advance toward to change and build up the pharmacokinetic and Pharmacodynamic parameters of various kinds of medication particles. The successful nano delivery system equipped for conveying a medication especially and safely to the favored site of activity is singular of the larger part troublesome undertakings of pharmaceutical formulation agents. Different kinds of nano formulations were ascending to improve the restorative effect of medications and limiting reactions by adjusting the kinetics, body distribution and drug release of a related medication. This article means to survey about the nanoparticle preparation, assessment and the different use of nanoparticles in the turf of pharmaceuticals.

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Drug Delivery Systems: Possibilities and Challenges

Cited by 5 publications

References 104 publications

Recent advances in metallopolymer-based drug delivery systems

Recent advances in metallopolymer-based drug delivery systems

Nanoparticles and convergence of artificial intelligence for targeted drug delivery for cancer therapy: Current progress and challenges

Nanoparticle a Targeted Drug Delivery System: An Overview

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