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Volume 21, Issue 2
  • ISSN: 1573-4137
  • E-ISSN: 1875-6786

Abstract

Colloidal carriers are a promising type of carriers which play a crucial role in transdermal drug delivery and other topical applications. These carriers are usually present in the microscopic size, which offers different methods to enclose and deliver a diverse range of dynamic substances such as medicines, genes, and lipids. They offer distinct advantages by mimicking the natural structure of the skin's lipid bilayers using lipids and allowing the incorporation of different active compounds through the use of polymers. Recently, more advanced technology like artificial intelligence (AI) and machine learning (ML) has been adopted in the pharmaceutical field. The incorporation of artificial intelligence and machine learning techniques in colloidal carriers holds immense promise in revolutionizing the domain of drug delivery and nanomedicine. Machine learning algorithms can undergo training with the use of extensive datasets containing information on drug behavior within the human body, which can predict drug response within the body. Additionally, AI can be employed to anticipate various processes, thereby resulting in an enhanced delivery of medication using carriers. Many studies have shown the use of machine learning (ML) and artificial intelligence (AI) for optimizing the drug-carrying capacity colloidal carriers. The present review concentrates on various categories of innovative colloidal vehicles in transdermal administration, alongside their penetration technique, benefit, and mechanism in the integumentary system. Outcomes from the different researches are critically assessed and showcase the potential of colloidal carriers to augment the penetration of drugs through the stratum corneum while minimizing adverse effects on the entire system with improved therapeutic effectiveness in various diseases.

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/content/journals/cnano/10.2174/0115734137287023240103063237
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Emerging Era in Colloidal Carriers Approach for Enhanced Transdermal Drug Delivery
Curr. Nanosci. 21, 218 (2025); https://doi.org/10.2174/0115734137287023240103063237
/content/journals/cnano/10.2174/0115734137287023240103063237
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  • Article Type:     Review Article
Keyword(s): artificial intelligence; Colloidal carriers; drug delivery; machine learning; nanomedicine; transdermal

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